premise
string | hypothesis
string | label
int64 |
|---|---|---|
| TextRetrievalDatasets | | | |
| --- | --- | --- | --- |
| Label | Description | #queries | #images |
|
| IC11 | ICDAR2011testdataset. | 538 | 255 |
| --- | --- | --- | --- |
| SVT | SVTtestdataset. | 427 | 249 |
| STR | IIITSTRtextretrievaldataset. | 50 | 10k |
| Sports | IIITSports-10ktextretrievaldataset. | 10 | 10k |
| BBCNews | AdatasetofkeyframesfromBBCNewsvideo. | - | 2.3m |
| 1
|
| TextRetrievalDatasets | | | |
| --- | --- | --- | --- |
| Label | Description | #queries | #images |
|
| TrainingData | TestData | |
| --- | --- | --- |
| ILSVRC2012Val | WebVisionVal | |
| 1K<br>D<br>ImageNet | 56.15 | 52.58 |
| WebVision | 47.55 | 57.03 |
| E<br>VT | 51.99 | 53.94 |
| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |
| E* | 56.58 | 57.98 |
| 0
|
| TextRetrievalDatasets | | | |
| --- | --- | --- | --- |
| Label | Description | #queries | #images |
|
| IC11 | ICDAR2011testdataset. | 538 | 255 |
| --- | --- | --- | --- |
| SVT | SVTtestdataset. | 427 | 249 |
| STR | IIITSTRtextretrievaldataset. | 50 | 10k |
| Sports | IIITSports-10ktextretrievaldataset. | 10 | 10k |
| BBCNews | AdatasetofkeyframesfromBBCNewsvideo. | - | 2.3m |
| 1
|
| TextRetrievalDatasets | | | |
| --- | --- | --- | --- |
| Label | Description | #queries | #images |
|
| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |
| --- | --- | --- |
| E* | 56.58 | 57.98 |
| 0
|
| Model | AUC-ROC | AUC-PR | Specificity | Sensitivity | PPV | Accuracy |
| --- | --- | --- | --- | --- | --- | --- |
| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |
|
| 10-day | 0.7339 | 0.6884 | 0.3077 | 1.0 | 1.0 | 0.820 |
| --- | --- | --- | --- | --- | --- | --- |
| 15-day | 0.7710 | 0.5808 | 0.3333 | 0.9009 | 0.5417 | 0.7533 |
| 20-day | 0.7533 | 0.6880 | 0.5385 | 0.9820 | 0.9130 | 0.8667 |
| 1
|
| Model | AUC-ROC | AUC-PR | Specificity | Sensitivity | PPV | Accuracy |
| --- | --- | --- | --- | --- | --- | --- |
| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |
|
| Breakout(724frames) | Enduro(2914frames) | Phoenix(575frames) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Model | NSS | ROC | NSS | ROC | NSS | ROC |
| Softattention | 1.326 | 0.787 | 0.699 | 0.689 | 0.187 | 0.529 |
| GBVS | -0.074 | 0.489 | -0.083 | 0.578 | -0.143 | 0.485 |
| Itti-Koch | -0.112 | 0.453 | -0.048 | 0.593 | 0.267 | 0.599 |
| 0
|
| Model | AUC-ROC | AUC-PR | Specificity | Sensitivity | PPV | Accuracy |
| --- | --- | --- | --- | --- | --- | --- |
| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |
|
| 10-day | 0.7339 | 0.6884 | 0.3077 | 1.0 | 1.0 | 0.820 |
| --- | --- | --- | --- | --- | --- | --- |
| 15-day | 0.7710 | 0.5808 | 0.3333 | 0.9009 | 0.5417 | 0.7533 |
| 20-day | 0.7533 | 0.6880 | 0.5385 | 0.9820 | 0.9130 | 0.8667 |
| 1
|
| Model | AUC-ROC | AUC-PR | Specificity | Sensitivity | PPV | Accuracy |
| --- | --- | --- | --- | --- | --- | --- |
| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |
|
| Softattention | 1.326 | 0.787 | 0.699 | 0.689 | 0.187 | 0.529 |
| --- | --- | --- | --- | --- | --- | --- |
| GBVS | -0.074 | 0.489 | -0.083 | 0.578 | -0.143 | 0.485 |
| Itti-Koch | -0.112 | 0.453 | -0.048 | 0.593 | 0.267 | 0.599 |
| 0
|
| K | Time(seconds) |
| --- | --- |
| 100 | 7.898881 |
| 200 | 12.972909 |
| 300 | 17.126809 |
| 400 | 20.611251 |
| 500 | 23.639403 |
| 600 | 45.750178 |
|
| 700 | 33.864268 |
| --- | --- |
| 800 | 55.053441 |
| 900 | 74.374957 |
| 1000 | 52.925832 |
| 1
|
| K | Time(seconds) |
| --- | --- |
| 100 | 7.898881 |
| 200 | 12.972909 |
| 300 | 17.126809 |
| 400 | 20.611251 |
| 500 | 23.639403 |
| 600 | 45.750178 |
|
| Timings |
| --- |
| 412.579 |
| 159.950 |
| 62.638 |
| 4.572 |
| 3.175 |
| 1.113 |
| 0
|
| K | Time(seconds) |
| --- | --- |
| 100 | 7.898881 |
| 200 | 12.972909 |
| 300 | 17.126809 |
|
| 400 | 20.611251 |
| --- | --- |
| 500 | 23.639403 |
| 600 | 45.750178 |
| 700 | 33.864268 |
| 800 | 55.053441 |
| 900 | 74.374957 |
| 1000 | 52.925832 |
| 1
|
| K | Time(seconds) |
| --- | --- |
| 100 | 7.898881 |
| 200 | 12.972909 |
| 300 | 17.126809 |
|
| 159.950 |
| --- |
| 62.638 |
| 4.572 |
| 3.175 |
| 1.113 |
| 0
|
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |
| cc-12-12-2<br>(unsat) | t<br>n | 50,7<br>16897 | 67,6(14,3)<br>19429(49780) | 79,3<br>16596 | 65<br>21532 | 523,6<br>13935 | 555,6<br>13564 | 49,1<br>16292 | 54,3<br>16135 |
|
| cc-15-15-2<br>(unsat) | t<br>n | 98,6<br>16948 | 125(94,5)<br>20166(14881) | 159,7<br>16674 | 91,3<br>16437 | 1037<br>10374 | 1134<br>10012 | 103,6<br>15741 | 102,1<br>15945 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| series-16<br>(sat) | t<br>n | 147,3<br>49857 | 543,9(516,5)<br>155102(146942) | 177,6<br>51767 | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |
| series-18<br>(sat) | t<br>n | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |
| renault-mod-0<br>(sat) | t<br>n | 1285<br>288 | >1h<br>– | 2675<br>251 | >1h<br>– | >1h<br>– | >1h<br>– | 1008<br>166 | 776,2<br>179 |
| renault-mod-1<br>(unsat) | t<br>n | 2126<br>474 | >1h<br>– | 2283<br>469 | >1h<br>– | >1h<br>– | >1h<br>– | 431,4<br>161 | 785,4<br>234 |
| renault-mod-3<br>(unsat) | t<br>n | 2598<br>546 | >1h<br>- | 2977<br>475 | >1h<br>– | >1h<br>– | >1h<br>– | 993,5<br>203 | 435,7<br>176 |
| 1
|
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |
| cc-12-12-2<br>(unsat) | t<br>n | 50,7<br>16897 | 67,6(14,3)<br>19429(49780) | 79,3<br>16596 | 65<br>21532 | 523,6<br>13935 | 555,6<br>13564 | 49,1<br>16292 | 54,3<br>16135 |
|
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |
| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |
| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |
| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |
| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |
| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |
| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |
| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |
| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |
| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |
| 0
|
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |
|
| cc-12-12-2<br>(unsat) | t<br>n | 50,7<br>16897 | 67,6(14,3)<br>19429(49780) | 79,3<br>16596 | 65<br>21532 | 523,6<br>13935 | 555,6<br>13564 | 49,1<br>16292 | 54,3<br>16135 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| cc-15-15-2<br>(unsat) | t<br>n | 98,6<br>16948 | 125(94,5)<br>20166(14881) | 159,7<br>16674 | 91,3<br>16437 | 1037<br>10374 | 1134<br>10012 | 103,6<br>15741 | 102,1<br>15945 |
| series-16<br>(sat) | t<br>n | 147,3<br>49857 | 543,9(516,5)<br>155102(146942) | 177,6<br>51767 | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |
| series-18<br>(sat) | t<br>n | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |
| renault-mod-0<br>(sat) | t<br>n | 1285<br>288 | >1h<br>– | 2675<br>251 | >1h<br>– | >1h<br>– | >1h<br>– | 1008<br>166 | 776,2<br>179 |
| renault-mod-1<br>(unsat) | t<br>n | 2126<br>474 | >1h<br>– | 2283<br>469 | >1h<br>– | >1h<br>– | >1h<br>– | 431,4<br>161 | 785,4<br>234 |
| renault-mod-3<br>(unsat) | t<br>n | 2598<br>546 | >1h<br>- | 2977<br>475 | >1h<br>– | >1h<br>– | >1h<br>– | 993,5<br>203 | 435,7<br>176 |
| 1
|
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |
|
| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |
| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |
| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |
| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |
| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |
| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |
| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |
| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |
| 0
|
| | CommNet | MonkeyContact | PowerLaw | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |
| Instant | 86,78 | 1,7 | 0,27 | 0,14 | 17,60 | 1,28 |
|
| Weak | 87,19 | 1,84 | 0,27 | 0,14 | 20,72 | 1,56 |
| --- | --- | --- | --- | --- | --- | --- |
| Strong | 88,02 | 1,82 | 0,26 | 0,16 | 19,73 | 1,44 |
| 1
|
| | CommNet | MonkeyContact | PowerLaw | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |
| Instant | 86,78 | 1,7 | 0,27 | 0,14 | 17,60 | 1,28 |
|
| | CommNet | MonkeyContact | PowerLaw | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |
| Instant | 89,07 | 1,79 | 0,28 | 0,15 | 19,86 | 1,43 |
| Weak | 90,96 | 2,07 | 0,26 | 0,15 | 18,36 | 1,46 |
| Strong | 93,75 | 2,05 | 0,26 | 0,16 | 19,98 | 1,50 |
| 0
|
| | CommNet | MonkeyContact | PowerLaw | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |
|
| Instant | 86,78 | 1,7 | 0,27 | 0,14 | 17,60 | 1,28 |
| --- | --- | --- | --- | --- | --- | --- |
| Weak | 87,19 | 1,84 | 0,27 | 0,14 | 20,72 | 1,56 |
| Strong | 88,02 | 1,82 | 0,26 | 0,16 | 19,73 | 1,44 |
| 1
|
| | CommNet | MonkeyContact | PowerLaw | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |
|
| Instant | 89,07 | 1,79 | 0,28 | 0,15 | 19,86 | 1,43 |
| --- | --- | --- | --- | --- | --- | --- |
| Weak | 90,96 | 2,07 | 0,26 | 0,15 | 18,36 | 1,46 |
| Strong | 93,75 | 2,05 | 0,26 | 0,16 | 19,98 | 1,50 |
| 0
|
| LPW | MARS | Market | iLIDS-VID | PRID2011 |
| --- | --- | --- | --- | --- |
| 2,731 | 1,261 | 1501 | 300 | 200 |
| 590,547 | 1,067,516 | 32,668 | 43,800 | 40k |
|
| no | yes | yes | no | no |
| --- | --- | --- | --- | --- |
| 7,694 | 20,715 | - | 600 | 400 |
| 1
|
| LPW | MARS | Market | iLIDS-VID | PRID2011 |
| --- | --- | --- | --- | --- |
| 2,731 | 1,261 | 1501 | 300 | 200 |
| 590,547 | 1,067,516 | 32,668 | 43,800 | 40k |
|
| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |
| --- | --- | --- | --- | --- | --- |
| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |
| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |
| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |
| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |
| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |
| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |
| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |
| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |
| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |
| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |
| 0
|
| LPW | MARS | Market | iLIDS-VID | PRID2011 |
| --- | --- | --- | --- | --- |
| 2,731 | 1,261 | 1501 | 300 | 200 |
|
| 590,547 | 1,067,516 | 32,668 | 43,800 | 40k |
| --- | --- | --- | --- | --- |
| no | yes | yes | no | no |
| 7,694 | 20,715 | - | 600 | 400 |
| 1
|
| LPW | MARS | Market | iLIDS-VID | PRID2011 |
| --- | --- | --- | --- | --- |
| 2,731 | 1,261 | 1501 | 300 | 200 |
|
| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |
| --- | --- | --- | --- | --- | --- |
| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |
| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |
| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |
| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |
| 0
|
| Platform | ConveyHC-1ex |
| --- | --- |
| FPGAfabric | Virtex-6VLX760x4 |
| LogicCell | 474Kx4 |
| DSP | 864x4 |
| BRAM | 26Mbx4 |
|
| DDRBW | 80GB/s |
| --- | --- |
| DDRsize | 64GB |
| Power | 150W |
| Technology | 40nm |
| 1
|
| Platform | ConveyHC-1ex |
| --- | --- |
| FPGAfabric | Virtex-6VLX760x4 |
| LogicCell | 474Kx4 |
| DSP | 864x4 |
| BRAM | 26Mbx4 |
|
| Platform | CEs | GFLOP/s | GB/s |
| --- | --- | --- | --- |
| AMDHD7970 | 64×32 | 3,788 | 264 |
| IntelXeonPhi5110P | 2×60 | 2,022 | 320 |
| NVIDIAGTX680 | 192×8 | 3,090 | 192 |
| NVIDIAK20 | 192×13 | 3,519 | 208 |
| NVIDIAGTXTitan | 192×14 | 4,500 | 288 |
| 0
|
| Platform | ConveyHC-1ex |
| --- | --- |
| FPGAfabric | Virtex-6VLX760x4 |
| LogicCell | 474Kx4 |
| DSP | 864x4 |
| BRAM | 26Mbx4 |
|
| DDRBW | 80GB/s |
| --- | --- |
| DDRsize | 64GB |
| Power | 150W |
| Technology | 40nm |
| 1
|
| Platform | ConveyHC-1ex |
| --- | --- |
| FPGAfabric | Virtex-6VLX760x4 |
| LogicCell | 474Kx4 |
| DSP | 864x4 |
| BRAM | 26Mbx4 |
|
| NVIDIAK20 | 192×13 | 3,519 | 208 |
| --- | --- | --- | --- |
| NVIDIAGTXTitan | 192×14 | 4,500 | 288 |
| 0
|
| Method | TrainAnno. | TestAnno. | Acc. |
| --- | --- | --- | --- |
| Alignment<br>Attention<br>Bilinear-CNN | n/a<br>n/a<br>n/a | n/a<br>n/a<br>n/a | 53.6<br>69.7<br>72.5 |
| CNNaug<br>Alignment<br>Noparts<br>Bilinear-CNN | BBox<br>BBox<br>BBox<br>BBox | BBox<br>BBox<br>BBox<br>BBox | 61.8<br>67.0<br>74.9<br>77.2 |
|
| PartR-CNN<br>PoseNormCNN | BBox+Parts<br>BBox+Parts | n/a<br>n/a | 73.9<br>75.7 |
| --- | --- | --- | --- |
| POOF<br>DPD+DeCAF<br>PartR-CNN<br>PS-CNN(thispaper) | BBox+Parts<br>BBox+Parts<br>BBox+Parts<br>BBox+Parts | BBox<br>BBox<br>BBox<br>BBox | 56.8<br>65.0<br>76.4<br>76.2 |
| 1
|
| Method | TrainAnno. | TestAnno. | Acc. |
| --- | --- | --- | --- |
| Alignment<br>Attention<br>Bilinear-CNN | n/a<br>n/a<br>n/a | n/a<br>n/a<br>n/a | 53.6<br>69.7<br>72.5 |
| CNNaug<br>Alignment<br>Noparts<br>Bilinear-CNN | BBox<br>BBox<br>BBox<br>BBox | BBox<br>BBox<br>BBox<br>BBox | 61.8<br>67.0<br>74.9<br>77.2 |
|
| Cat | Method | Feature | Metric | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |
| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |
| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |
| 0
|
| Method | TrainAnno. | TestAnno. | Acc. |
| --- | --- | --- | --- |
| Alignment<br>Attention<br>Bilinear-CNN | n/a<br>n/a<br>n/a | n/a<br>n/a<br>n/a | 53.6<br>69.7<br>72.5 |
| CNNaug<br>Alignment<br>Noparts<br>Bilinear-CNN | BBox<br>BBox<br>BBox<br>BBox | BBox<br>BBox<br>BBox<br>BBox | 61.8<br>67.0<br>74.9<br>77.2 |
|
| PartR-CNN<br>PoseNormCNN | BBox+Parts<br>BBox+Parts | n/a<br>n/a | 73.9<br>75.7 |
| --- | --- | --- | --- |
| POOF<br>DPD+DeCAF<br>PartR-CNN<br>PS-CNN(thispaper) | BBox+Parts<br>BBox+Parts<br>BBox+Parts<br>BBox+Parts | BBox<br>BBox<br>BBox<br>BBox | 56.8<br>65.0<br>76.4<br>76.2 |
| 1
|
| Method | TrainAnno. | TestAnno. | Acc. |
| --- | --- | --- | --- |
| Alignment<br>Attention<br>Bilinear-CNN | n/a<br>n/a<br>n/a | n/a<br>n/a<br>n/a | 53.6<br>69.7<br>72.5 |
| CNNaug<br>Alignment<br>Noparts<br>Bilinear-CNN | BBox<br>BBox<br>BBox<br>BBox | BBox<br>BBox<br>BBox<br>BBox | 61.8<br>67.0<br>74.9<br>77.2 |
|
| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |
| --- | --- | --- | --- | --- | --- |
| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |
| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |
| 0
|
| Dataset | Method | EAR | σ | KNN-dist | MST-dist |
| --- | --- | --- | --- | --- | --- |
| Digits08 | AP | 0.96±0.01 | 0.23±0.002 | 0.48±0.01 | 0.41±0.01 |
| RE | 0.93±0.06 | 0.273±0.009 | 0.76±0.01 | 0.65±0.04 | |
| Credit | AP | 0.98±0.01 | 0.218±0.001 | 1.19±0.02 | 1.01±0.02 |
| RE | 0.80±0.15 | 0.265±0.001 | 2.22±0.02 | 1.72±0.31 | |
| Cancer | AP | 0.99±0.01 | 0.215±0.001 | 0.38±0.01 | 0.33±0.01 |
| RE | 0.99±0.01 | 0.263±0.001 | 0.5±0.01 | 0.45±0.01 | |
| Qsar | AP | 1 | 0.216±0.001 | 1.1±0.01 | 0.94±0.01 |
| RE | 0.99+0.01 | 0.264±0.001 | 1.71±0.01 | 1.64±0.01 | |
| Sonar | AP | 0.99±0.01 | 0.215±0.001 | 1.37±0.01 | 1.16±0.01 |
| RE | 0.98±0.01 | 0.265±0.001 | 2.22±0.01 | 2.1±0.015 | |
|
| Theorem | AP | 0.97±0.01 | 0.219±0.002 | 1.05±0.02 | 0.89±0.02 |
| --- | --- | --- | --- | --- | --- |
| RE | 0.87±0.08 | 0.267±0.002 | 1.96±0.02 | 1.64±0.15 | |
| Diabetes | AP | 0.98±0.01 | 0.217±0.003 | 0.27±0.01 | 0.23±0.01 |
| RE | 0.95±0.04 | 0.262±0.001 | 0.36±0.01 | 0.31±0.01 | |
| Spambase | AP | 0.93±0.01 | 0.233±0.003 | 0.96±0.02 | 0.79±0.02 |
| RE | 0.71±0.2 | 0.273±0.004 | 2.04±0.06 | 1.39±0.4 | |
| KDD99 | AP | 0.99±0.01 | 0.215±0.001 | 1.06±0.01 | 0.91±0.01 |
| RE | 0.93±0.04 | 0.263±0.001 | 1.71±0.01 | 1.53±0.06 | |
| CAPTCHA | AP | 0.99±0.01 | 0.215±0.001 | 0.80±0.01 | 0.68±0.01 |
| RE | 0.97±0.02 | 0.264±0.001 | 1.22±0.01 | 1.12±0.03 | |
| 1
|
| Dataset | Method | EAR | σ | KNN-dist | MST-dist |
| --- | --- | --- | --- | --- | --- |
| Digits08 | AP | 0.96±0.01 | 0.23±0.002 | 0.48±0.01 | 0.41±0.01 |
| RE | 0.93±0.06 | 0.273±0.009 | 0.76±0.01 | 0.65±0.04 | |
| Credit | AP | 0.98±0.01 | 0.218±0.001 | 1.19±0.02 | 1.01±0.02 |
| RE | 0.80±0.15 | 0.265±0.001 | 2.22±0.02 | 1.72±0.31 | |
| Cancer | AP | 0.99±0.01 | 0.215±0.001 | 0.38±0.01 | 0.33±0.01 |
| RE | 0.99±0.01 | 0.263±0.001 | 0.5±0.01 | 0.45±0.01 | |
| Qsar | AP | 1 | 0.216±0.001 | 1.1±0.01 | 0.94±0.01 |
| RE | 0.99+0.01 | 0.264±0.001 | 1.71±0.01 | 1.64±0.01 | |
| Sonar | AP | 0.99±0.01 | 0.215±0.001 | 1.37±0.01 | 1.16±0.01 |
| RE | 0.98±0.01 | 0.265±0.001 | 2.22±0.01 | 2.1±0.015 | |
|
| kNN | SVM-RBF | DT | RF | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |
| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |
| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |
| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |
| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |
| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |
| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |
| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |
| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |
| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |
| 0
|
| Dataset | Method | EAR | σ | KNN-dist | MST-dist |
| --- | --- | --- | --- | --- | --- |
| Digits08 | AP | 0.96±0.01 | 0.23±0.002 | 0.48±0.01 | 0.41±0.01 |
| RE | 0.93±0.06 | 0.273±0.009 | 0.76±0.01 | 0.65±0.04 | |
| Credit | AP | 0.98±0.01 | 0.218±0.001 | 1.19±0.02 | 1.01±0.02 |
| RE | 0.80±0.15 | 0.265±0.001 | 2.22±0.02 | 1.72±0.31 | |
|
| Cancer | AP | 0.99±0.01 | 0.215±0.001 | 0.38±0.01 | 0.33±0.01 |
| --- | --- | --- | --- | --- | --- |
| RE | 0.99±0.01 | 0.263±0.001 | 0.5±0.01 | 0.45±0.01 | |
| Qsar | AP | 1 | 0.216±0.001 | 1.1±0.01 | 0.94±0.01 |
| RE | 0.99+0.01 | 0.264±0.001 | 1.71±0.01 | 1.64±0.01 | |
| Sonar | AP | 0.99±0.01 | 0.215±0.001 | 1.37±0.01 | 1.16±0.01 |
| RE | 0.98±0.01 | 0.265±0.001 | 2.22±0.01 | 2.1±0.015 | |
| Theorem | AP | 0.97±0.01 | 0.219±0.002 | 1.05±0.02 | 0.89±0.02 |
| RE | 0.87±0.08 | 0.267±0.002 | 1.96±0.02 | 1.64±0.15 | |
| Diabetes | AP | 0.98±0.01 | 0.217±0.003 | 0.27±0.01 | 0.23±0.01 |
| RE | 0.95±0.04 | 0.262±0.001 | 0.36±0.01 | 0.31±0.01 | |
| Spambase | AP | 0.93±0.01 | 0.233±0.003 | 0.96±0.02 | 0.79±0.02 |
| RE | 0.71±0.2 | 0.273±0.004 | 2.04±0.06 | 1.39±0.4 | |
| KDD99 | AP | 0.99±0.01 | 0.215±0.001 | 1.06±0.01 | 0.91±0.01 |
| RE | 0.93±0.04 | 0.263±0.001 | 1.71±0.01 | 1.53±0.06 | |
| CAPTCHA | AP | 0.99±0.01 | 0.215±0.001 | 0.80±0.01 | 0.68±0.01 |
| RE | 0.97±0.02 | 0.264±0.001 | 1.22±0.01 | 1.12±0.03 | |
| 1
|
| Dataset | Method | EAR | σ | KNN-dist | MST-dist |
| --- | --- | --- | --- | --- | --- |
| Digits08 | AP | 0.96±0.01 | 0.23±0.002 | 0.48±0.01 | 0.41±0.01 |
| RE | 0.93±0.06 | 0.273±0.009 | 0.76±0.01 | 0.65±0.04 | |
| Credit | AP | 0.98±0.01 | 0.218±0.001 | 1.19±0.02 | 1.01±0.02 |
| RE | 0.80±0.15 | 0.265±0.001 | 2.22±0.02 | 1.72±0.31 | |
|
| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |
| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |
| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |
| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |
| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |
| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |
| 0
|
| FeatureGroup | Specificity | Sensitivity | Precision |
| --- | --- | --- | --- |
| A | 0.83 | 0.9 | 0.05 |
|
| A,B | 0.82 | 0.89 | 0.05 |
| --- | --- | --- | --- |
| A,B,C | 0.83 | 0.87 | 0.05 |
| A,B,C,D | 0.85 | 0.85 | 0.15 |
| A | 0.78 | 0.81 | 0.13 |
| A,B | 0.78 | 0.84 | 0.14 |
| A,B,C | 0.8 | 0.86 | 0.12 |
| A,B,C,D | 0.78 | 0.84 | 0.13 |
| A | 0.78 | 0.84 | 0.12 |
| A,B | 0.8 | 0.85 | 0.11 |
| A,B,C | 0.79 | 0.89 | 0.11 |
| A,B,C,D | 0.8 | 0.84 | 0.11 |
| A | 0.85 | 0.91 | 0.16 |
| A,B | 0.77 | 0.88 | 0.11 |
| A,B,C | 0.81 | 0.88 | 0.12 |
| A,B,C,D | 0.92 | 0.87 | 0.14 |
| 1
|
| FeatureGroup | Specificity | Sensitivity | Precision |
| --- | --- | --- | --- |
| A | 0.83 | 0.9 | 0.05 |
|
| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |
| Specificity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |
| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |
| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |
| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |
| 0
|
| FeatureGroup | Specificity | Sensitivity | Precision |
| --- | --- | --- | --- |
| A | 0.83 | 0.9 | 0.05 |
| A,B | 0.82 | 0.89 | 0.05 |
| A,B,C | 0.83 | 0.87 | 0.05 |
| A,B,C,D | 0.85 | 0.85 | 0.15 |
| A | 0.78 | 0.81 | 0.13 |
| A,B | 0.78 | 0.84 | 0.14 |
| A,B,C | 0.8 | 0.86 | 0.12 |
| A,B,C,D | 0.78 | 0.84 | 0.13 |
| A | 0.78 | 0.84 | 0.12 |
| A,B | 0.8 | 0.85 | 0.11 |
| A,B,C | 0.79 | 0.89 | 0.11 |
|
| A,B,C,D | 0.8 | 0.84 | 0.11 |
| --- | --- | --- | --- |
| A | 0.85 | 0.91 | 0.16 |
| A,B | 0.77 | 0.88 | 0.11 |
| A,B,C | 0.81 | 0.88 | 0.12 |
| A,B,C,D | 0.92 | 0.87 | 0.14 |
| 1
|
| FeatureGroup | Specificity | Sensitivity | Precision |
| --- | --- | --- | --- |
| A | 0.83 | 0.9 | 0.05 |
| A,B | 0.82 | 0.89 | 0.05 |
| A,B,C | 0.83 | 0.87 | 0.05 |
| A,B,C,D | 0.85 | 0.85 | 0.15 |
| A | 0.78 | 0.81 | 0.13 |
| A,B | 0.78 | 0.84 | 0.14 |
| A,B,C | 0.8 | 0.86 | 0.12 |
| A,B,C,D | 0.78 | 0.84 | 0.13 |
| A | 0.78 | 0.84 | 0.12 |
| A,B | 0.8 | 0.85 | 0.11 |
| A,B,C | 0.79 | 0.89 | 0.11 |
|
| Specificity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |
| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |
| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |
| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |
| 0
|
| |
| --- |
| Ours |
| HCF |
| LCT |
|
| CCT |
| --- |
| MEEM |
| DST |
| DSST |
| KCF |
| Struck |
| TGPR |
| 1
|
| |
| --- |
| Ours |
| HCF |
| LCT |
|
| | UCF-101 | HMDB-51 |
| --- | --- | --- |
| IDT+FV | 85.9 | 57.2 |
| IDT+HSV | 87.9 | 61.1 |
| MoFAP | 88.3 | 61.7 |
| TDD+FV | 90.3 | 63.2 |
| Two-stream | 88 | 59.4 |
| TSN | 94 | 68 |
| TSNCorrnet(ours) | 94.3 | 69 |
| 0
|
| |
| --- |
| Ours |
| HCF |
| LCT |
|
| CCT |
| --- |
| MEEM |
| DST |
| DSST |
| KCF |
| Struck |
| TGPR |
| 1
|
| |
| --- |
| Ours |
| HCF |
| LCT |
|
| IDT+HSV | 87.9 | 61.1 |
| --- | --- | --- |
| MoFAP | 88.3 | 61.7 |
| TDD+FV | 90.3 | 63.2 |
| Two-stream | 88 | 59.4 |
| TSN | 94 | 68 |
| TSNCorrnet(ours) | 94.3 | 69 |
| 0
|
| Architecture | UCF-101 | HMDB-51 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |
| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |
| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |
|
| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |
| 1
|
| Architecture | UCF-101 | HMDB-51 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |
| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |
| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |
|
| Architecture | Kinetics | | | | |
| --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 53.9 | – | – | 63.3 | – |
| (b)3D-ConvNet | 56.1 | – | – | – | – |
| (c)Two-Stream | 57.9 | 49.6 | 62.8 | 62.2 | 52.4 |
| (d)3D-Fused | – | – | 62.7 | – | – |
| (e)Two-StreamI3D | 68.4(88.0) | 61.5(83.4) | 71.6(90.0) | 71.1(89.3) | 63.4(84.9) |
| 0
|
| Architecture | UCF-101 | HMDB-51 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |
| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |
| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |
|
| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |
| 1
|
| Architecture | UCF-101 | HMDB-51 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |
| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |
| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |
|
| (d)3D-Fused | – | – | 62.7 | – | – |
| --- | --- | --- | --- | --- | --- |
| (e)Two-StreamI3D | 68.4(88.0) | 61.5(83.4) | 71.6(90.0) | 71.1(89.3) | 63.4(84.9) |
| 0
|
| Data | UDC | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Change | MAP | Recall@5 | Recall@1 | Recall@2 | MAP | Recall@5 | Recall@1 |
| OnlyM1 | 0.7599 | 0.9294 | 0.6385 | 0.7761 | 0.5632 | 0.8509 | 0.3654 |
| OnlyM2 | 0.7253 | 0.9271 | 0.5836 | 0.7440 | 0.4996 | 0.8584 | 0.2595 |
| Inter-Dot(TB5) | 0.7719 | 0.9343 | 0.6552 | 0.7893 | 0.6792 | 0.9356 | 0.5021 |
| Inter-Cosine | 0.7507 | 0.9260 | 0.6248 | 0.7675 | 0.6729 | 0.9356 | 0.4944 |
| Inter-Bilinear | 0.7228 | 0.9199 | 0.5829 | 0.7401 | 0.4923 | 0.8421 | 0.2647 |
| OnlyM1 | 0.7449 | 0.9247 | 0.6167 | 0.7612 | 0.5776 | 0.8673 | 0.3805 |
| OnlyM2 | 0.7052 | 0.9203 | 0.5538 | 0.7260 | 0.5100 | 0.8613 | 0.2794 |
| OnlyM3 | 0.3887 | 0.6017 | 0.2015 | 0.3268 | 0.3699 | 0.6650 | 0.1585 |
|
| M1+M2(DMN) | 0.7363 | 0.9196 | 0.6056 | 0.7509 | 0.6415 | 0.9155 | 0.4521 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| M1+M3 | 0.7442 | 0.9251 | 0.6149 | 0.7612 | 0.6134 | 0.8860 | 0.4224 |
| M2+M3 | 0.7077 | 0.9198 | 0.5586 | 0.7263 | 0.5141 | 0.8659 | 0.2885 |
| Inter-Dot(TB5) | 0.7655 | 0.9351 | 0.6443 | 0.7841 | 0.6728 | 0.9304 | 0.4908 |
| Inter-Cosine | 0.7156 | 0.9121 | 0.5770 | 0.7268 | 0.6916 | 0.9249 | 0.5241 |
| Inter-Bilinear | 0.7061 | 0.9135 | 0.5590 | 0.7225 | 0.4936 | 0.8224 | 0.2679 |
| 1
|
| Data | UDC | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Change | MAP | Recall@5 | Recall@1 | Recall@2 | MAP | Recall@5 | Recall@1 |
| OnlyM1 | 0.7599 | 0.9294 | 0.6385 | 0.7761 | 0.5632 | 0.8509 | 0.3654 |
| OnlyM2 | 0.7253 | 0.9271 | 0.5836 | 0.7440 | 0.4996 | 0.8584 | 0.2595 |
| Inter-Dot(TB5) | 0.7719 | 0.9343 | 0.6552 | 0.7893 | 0.6792 | 0.9356 | 0.5021 |
| Inter-Cosine | 0.7507 | 0.9260 | 0.6248 | 0.7675 | 0.6729 | 0.9356 | 0.4944 |
| Inter-Bilinear | 0.7228 | 0.9199 | 0.5829 | 0.7401 | 0.4923 | 0.8421 | 0.2647 |
| OnlyM1 | 0.7449 | 0.9247 | 0.6167 | 0.7612 | 0.5776 | 0.8673 | 0.3805 |
| OnlyM2 | 0.7052 | 0.9203 | 0.5538 | 0.7260 | 0.5100 | 0.8613 | 0.2794 |
| OnlyM3 | 0.3887 | 0.6017 | 0.2015 | 0.3268 | 0.3699 | 0.6650 | 0.1585 |
|
| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing | | | |
| --- | --- | --- | --- | --- | --- |
| Recall | Precision | Recall | Precision | Recall | |
| 79 | 0.671 | 0.646 | 0.658 | 0.894 | 0.822 |
| 67 | 0.731 | 0.648 | 0.716 | 0.903 | 0.761 |
| 49 | 0.754 | 0.610 | 0.754 | 0.818 | 0.797 |
| 65 | 0.719 | 0.634 | 0.709 | 0.872 | 0.793 |
| 0
|
| Data | UDC | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Change | MAP | Recall@5 | Recall@1 | Recall@2 | MAP | Recall@5 | Recall@1 |
| OnlyM1 | 0.7599 | 0.9294 | 0.6385 | 0.7761 | 0.5632 | 0.8509 | 0.3654 |
| OnlyM2 | 0.7253 | 0.9271 | 0.5836 | 0.7440 | 0.4996 | 0.8584 | 0.2595 |
| Inter-Dot(TB5) | 0.7719 | 0.9343 | 0.6552 | 0.7893 | 0.6792 | 0.9356 | 0.5021 |
| Inter-Cosine | 0.7507 | 0.9260 | 0.6248 | 0.7675 | 0.6729 | 0.9356 | 0.4944 |
| Inter-Bilinear | 0.7228 | 0.9199 | 0.5829 | 0.7401 | 0.4923 | 0.8421 | 0.2647 |
| OnlyM1 | 0.7449 | 0.9247 | 0.6167 | 0.7612 | 0.5776 | 0.8673 | 0.3805 |
| OnlyM2 | 0.7052 | 0.9203 | 0.5538 | 0.7260 | 0.5100 | 0.8613 | 0.2794 |
| OnlyM3 | 0.3887 | 0.6017 | 0.2015 | 0.3268 | 0.3699 | 0.6650 | 0.1585 |
| M1+M2(DMN) | 0.7363 | 0.9196 | 0.6056 | 0.7509 | 0.6415 | 0.9155 | 0.4521 |
| M1+M3 | 0.7442 | 0.9251 | 0.6149 | 0.7612 | 0.6134 | 0.8860 | 0.4224 |
| M2+M3 | 0.7077 | 0.9198 | 0.5586 | 0.7263 | 0.5141 | 0.8659 | 0.2885 |
|
| Inter-Dot(TB5) | 0.7655 | 0.9351 | 0.6443 | 0.7841 | 0.6728 | 0.9304 | 0.4908 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Inter-Cosine | 0.7156 | 0.9121 | 0.5770 | 0.7268 | 0.6916 | 0.9249 | 0.5241 |
| Inter-Bilinear | 0.7061 | 0.9135 | 0.5590 | 0.7225 | 0.4936 | 0.8224 | 0.2679 |
| 1
|
| Data | UDC | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Change | MAP | Recall@5 | Recall@1 | Recall@2 | MAP | Recall@5 | Recall@1 |
| OnlyM1 | 0.7599 | 0.9294 | 0.6385 | 0.7761 | 0.5632 | 0.8509 | 0.3654 |
| OnlyM2 | 0.7253 | 0.9271 | 0.5836 | 0.7440 | 0.4996 | 0.8584 | 0.2595 |
| Inter-Dot(TB5) | 0.7719 | 0.9343 | 0.6552 | 0.7893 | 0.6792 | 0.9356 | 0.5021 |
| Inter-Cosine | 0.7507 | 0.9260 | 0.6248 | 0.7675 | 0.6729 | 0.9356 | 0.4944 |
| Inter-Bilinear | 0.7228 | 0.9199 | 0.5829 | 0.7401 | 0.4923 | 0.8421 | 0.2647 |
| OnlyM1 | 0.7449 | 0.9247 | 0.6167 | 0.7612 | 0.5776 | 0.8673 | 0.3805 |
| OnlyM2 | 0.7052 | 0.9203 | 0.5538 | 0.7260 | 0.5100 | 0.8613 | 0.2794 |
| OnlyM3 | 0.3887 | 0.6017 | 0.2015 | 0.3268 | 0.3699 | 0.6650 | 0.1585 |
| M1+M2(DMN) | 0.7363 | 0.9196 | 0.6056 | 0.7509 | 0.6415 | 0.9155 | 0.4521 |
| M1+M3 | 0.7442 | 0.9251 | 0.6149 | 0.7612 | 0.6134 | 0.8860 | 0.4224 |
| M2+M3 | 0.7077 | 0.9198 | 0.5586 | 0.7263 | 0.5141 | 0.8659 | 0.2885 |
|
| 67 | 0.731 | 0.648 | 0.716 | 0.903 | 0.761 |
| --- | --- | --- | --- | --- | --- |
| 49 | 0.754 | 0.610 | 0.754 | 0.818 | 0.797 |
| 65 | 0.719 | 0.634 | 0.709 | 0.872 | 0.793 |
| 0
|
| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |
| --- | --- | --- | --- | --- |
| 20 | 3 | 1835008 | 7339887 | 7339943 |
| 20 | 4 | 1966080 | 9830098 | 9830264 |
| 20 | 5 | 2031616 | 12189089 | 12189506 |
| 20 | 6 | 2064384 | 14449488 | 14450429 |
| 20 | 7 | 2080768 | 16643791 | 16645785 |
| 20 | 8 | 2088960 | 18796046 | 18800118 |
| 20 | 9 | 2093056 | 20921613 | 20929748 |
| 21 | 2 | 3145728 | 9437117 | 9437137 |
| 21 | 3 | 3670016 | 14679912 | 14679971 |
| 21 | 4 | 3932160 | 19660483 | 19660658 |
| 21 | 5 | 4063232 | 24378754 | 24379194 |
| 21 | 6 | 4128768 | 28900113 | 28901107 |
| 21 | 7 | 4161536 | 33289808 | 33291917 |
| 21 | 8 | 4177920 | 37596431 | 37600744 |
| 21 | 9 | 4186112 | 41851662 | 41860292 |
| 22 | 2 | 6291456 | 18874298 | 18874319 |
| 22 | 3 | 7340032 | 29359969 | 29360031 |
| 22 | 4 | 7864320 | 39321268 | 39321452 |
| 22 | 5 | 8126464 | 48758115 | 48758578 |
|
| 22 | 6 | 8257536 | 57801426 | 57802473 |
| --- | --- | --- | --- | --- |
| 22 | 7 | 8323072 | 66581969 | 66584193 |
| 22 | 8 | 8355840 | 75197456 | 75202010 |
| 22 | 9 | 8372224 | 83712271 | 83721396 |
| 22 | 10 | 8380416 | 92165134 | 92183183 |
| 1
|
| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |
| --- | --- | --- | --- | --- |
| 20 | 3 | 1835008 | 7339887 | 7339943 |
| 20 | 4 | 1966080 | 9830098 | 9830264 |
| 20 | 5 | 2031616 | 12189089 | 12189506 |
| 20 | 6 | 2064384 | 14449488 | 14450429 |
| 20 | 7 | 2080768 | 16643791 | 16645785 |
| 20 | 8 | 2088960 | 18796046 | 18800118 |
| 20 | 9 | 2093056 | 20921613 | 20929748 |
| 21 | 2 | 3145728 | 9437117 | 9437137 |
| 21 | 3 | 3670016 | 14679912 | 14679971 |
| 21 | 4 | 3932160 | 19660483 | 19660658 |
| 21 | 5 | 4063232 | 24378754 | 24379194 |
| 21 | 6 | 4128768 | 28900113 | 28901107 |
| 21 | 7 | 4161536 | 33289808 | 33291917 |
| 21 | 8 | 4177920 | 37596431 | 37600744 |
| 21 | 9 | 4186112 | 41851662 | 41860292 |
| 22 | 2 | 6291456 | 18874298 | 18874319 |
| 22 | 3 | 7340032 | 29359969 | 29360031 |
| 22 | 4 | 7864320 | 39321268 | 39321452 |
| 22 | 5 | 8126464 | 48758115 | 48758578 |
|
| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |
| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |
| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |
| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |
| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |
| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |
| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |
| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |
| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |
| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |
| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |
| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |
| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |
| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |
| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |
| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |
| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |
| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |
| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |
| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |
| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |
| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |
| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |
| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |
| 0
|
| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |
| --- | --- | --- | --- | --- |
| 20 | 3 | 1835008 | 7339887 | 7339943 |
| 20 | 4 | 1966080 | 9830098 | 9830264 |
| 20 | 5 | 2031616 | 12189089 | 12189506 |
| 20 | 6 | 2064384 | 14449488 | 14450429 |
| 20 | 7 | 2080768 | 16643791 | 16645785 |
| 20 | 8 | 2088960 | 18796046 | 18800118 |
| 20 | 9 | 2093056 | 20921613 | 20929748 |
| 21 | 2 | 3145728 | 9437117 | 9437137 |
| 21 | 3 | 3670016 | 14679912 | 14679971 |
| 21 | 4 | 3932160 | 19660483 | 19660658 |
| 21 | 5 | 4063232 | 24378754 | 24379194 |
| 21 | 6 | 4128768 | 28900113 | 28901107 |
| 21 | 7 | 4161536 | 33289808 | 33291917 |
| 21 | 8 | 4177920 | 37596431 | 37600744 |
| 21 | 9 | 4186112 | 41851662 | 41860292 |
| 22 | 2 | 6291456 | 18874298 | 18874319 |
| 22 | 3 | 7340032 | 29359969 | 29360031 |
|
| 22 | 4 | 7864320 | 39321268 | 39321452 |
| --- | --- | --- | --- | --- |
| 22 | 5 | 8126464 | 48758115 | 48758578 |
| 22 | 6 | 8257536 | 57801426 | 57802473 |
| 22 | 7 | 8323072 | 66581969 | 66584193 |
| 22 | 8 | 8355840 | 75197456 | 75202010 |
| 22 | 9 | 8372224 | 83712271 | 83721396 |
| 22 | 10 | 8380416 | 92165134 | 92183183 |
| 1
|
| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |
| --- | --- | --- | --- | --- |
| 20 | 3 | 1835008 | 7339887 | 7339943 |
| 20 | 4 | 1966080 | 9830098 | 9830264 |
| 20 | 5 | 2031616 | 12189089 | 12189506 |
| 20 | 6 | 2064384 | 14449488 | 14450429 |
| 20 | 7 | 2080768 | 16643791 | 16645785 |
| 20 | 8 | 2088960 | 18796046 | 18800118 |
| 20 | 9 | 2093056 | 20921613 | 20929748 |
| 21 | 2 | 3145728 | 9437117 | 9437137 |
| 21 | 3 | 3670016 | 14679912 | 14679971 |
| 21 | 4 | 3932160 | 19660483 | 19660658 |
| 21 | 5 | 4063232 | 24378754 | 24379194 |
| 21 | 6 | 4128768 | 28900113 | 28901107 |
| 21 | 7 | 4161536 | 33289808 | 33291917 |
| 21 | 8 | 4177920 | 37596431 | 37600744 |
| 21 | 9 | 4186112 | 41851662 | 41860292 |
| 22 | 2 | 6291456 | 18874298 | 18874319 |
| 22 | 3 | 7340032 | 29359969 | 29360031 |
|
| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |
| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |
| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |
| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |
| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |
| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |
| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |
| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |
| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |
| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |
| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |
| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |
| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |
| 0
|
| Method | 4View | 8View |
| --- | --- | --- |
| Share300 | 45.5 | 40.9 |
|
| Share30024-V | 43.4 | 34.7 |
| --- | --- | --- |
| Share500 | 48.0 | 43.3 |
| Share50024-V | 47.0 | 38.0 |
| 1
|
| Method | 4View | 8View |
| --- | --- | --- |
| Share300 | 45.5 | 40.9 |
|
| (a)Numberofrenderedviews | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| n | 200 | 500 | 1k | 2k | 10k | 86k |
| AP | 33.3 | 37.6 | 41.3 | 44.8 | 45.7 | 50.0 |
| (b)NumberofCADmodels | | | | | | |
| n | 5 | 10 | 20 | 40 | 160 | 1393 |
| AP | 21.7 | 26.6 | 29.8 | 33.9 | 44.6 | 50.0 |
| 0
|
| Method | 4View | 8View |
| --- | --- | --- |
| Share300 | 45.5 | 40.9 |
| Share30024-V | 43.4 | 34.7 |
|
| Share500 | 48.0 | 43.3 |
| --- | --- | --- |
| Share50024-V | 47.0 | 38.0 |
| 1
|
| Method | 4View | 8View |
| --- | --- | --- |
| Share300 | 45.5 | 40.9 |
| Share30024-V | 43.4 | 34.7 |
|
| AP | 33.3 | 37.6 | 41.3 | 44.8 | 45.7 | 50.0 |
| --- | --- | --- | --- | --- | --- | --- |
| (b)NumberofCADmodels | | | | | | |
| n | 5 | 10 | 20 | 40 | 160 | 1393 |
| AP | 21.7 | 26.6 | 29.8 | 33.9 | 44.6 | 50.0 |
| 0
|
| | Comparison1 | | | | |
| --- | --- | --- | --- | --- | --- |
| k | CPL | Eglobal | C | CPL | Eglobal |
| 50 | 4.0466×10 | 5.2804×10 | 0.2965 | 0.0078 | 0.0038 |
| 60 | 4.0429×10 | 1.3503×10 | 0.8713 | 7.8283×10 | 5.6824×10 |
| 70 | 5.5281×10 | 5.8380×10 | 0.8108 | 5.6084×10 | 6.7248×10 |
| 80 | 9.5953×10 | 1.1765×10 | 0.3231 | 0.0020 | 0.0031 |
|
| 90 | 6.5179×10 | 1.0460×10 | 0.0934 | 5.1846×10 | 7.2236×10 |
| --- | --- | --- | --- | --- | --- |
| 100 | 6.0881×10 | 8.7734×10 | 0.0351 | 3.3375×10 | 5.1019×10 |
| 200 | 3.0427×10 | 4.8142×10 | 7.7821×10 | 2.2048×10 | 8.7778×10 |
| 300 | 5.3190×10 | 7.0366×10 | 3.2108×10 | 6.5096×10 | 0.0042 |
| 400 | 4.7068×10 | 3.0236×10 | 1.2254×10 | 7.0862×10 | 0.0097 |
| 500 | 1.4848×10 | 2.1470×10 | 9.5681×10 | 0.0015 | 0.0204 |
| 1
|
| | Comparison1 | | | | |
| --- | --- | --- | --- | --- | --- |
| k | CPL | Eglobal | C | CPL | Eglobal |
| 50 | 4.0466×10 | 5.2804×10 | 0.2965 | 0.0078 | 0.0038 |
| 60 | 4.0429×10 | 1.3503×10 | 0.8713 | 7.8283×10 | 5.6824×10 |
| 70 | 5.5281×10 | 5.8380×10 | 0.8108 | 5.6084×10 | 6.7248×10 |
| 80 | 9.5953×10 | 1.1765×10 | 0.3231 | 0.0020 | 0.0031 |
|
| c1 | c2 | c3 | c4 | c5 | AA | OA |
| --- | --- | --- | --- | --- | --- | --- |
| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |
| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |
| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |
| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |
| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |
| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |
| 0
|
| | Comparison1 | | | | |
| --- | --- | --- | --- | --- | --- |
| k | CPL | Eglobal | C | CPL | Eglobal |
| 50 | 4.0466×10 | 5.2804×10 | 0.2965 | 0.0078 | 0.0038 |
|
| 60 | 4.0429×10 | 1.3503×10 | 0.8713 | 7.8283×10 | 5.6824×10 |
| --- | --- | --- | --- | --- | --- |
| 70 | 5.5281×10 | 5.8380×10 | 0.8108 | 5.6084×10 | 6.7248×10 |
| 80 | 9.5953×10 | 1.1765×10 | 0.3231 | 0.0020 | 0.0031 |
| 90 | 6.5179×10 | 1.0460×10 | 0.0934 | 5.1846×10 | 7.2236×10 |
| 100 | 6.0881×10 | 8.7734×10 | 0.0351 | 3.3375×10 | 5.1019×10 |
| 200 | 3.0427×10 | 4.8142×10 | 7.7821×10 | 2.2048×10 | 8.7778×10 |
| 300 | 5.3190×10 | 7.0366×10 | 3.2108×10 | 6.5096×10 | 0.0042 |
| 400 | 4.7068×10 | 3.0236×10 | 1.2254×10 | 7.0862×10 | 0.0097 |
| 500 | 1.4848×10 | 2.1470×10 | 9.5681×10 | 0.0015 | 0.0204 |
| 1
|
| | Comparison1 | | | | |
| --- | --- | --- | --- | --- | --- |
| k | CPL | Eglobal | C | CPL | Eglobal |
| 50 | 4.0466×10 | 5.2804×10 | 0.2965 | 0.0078 | 0.0038 |
|
| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |
| 0
|
| | Counts |
| --- | --- |
| UniqueURLsCrawled | 1,113,653 |
| UniqueDomainsCrawled | 329,575 |
|
| UniqueFilteredURLs | 115,337 |
| --- | --- |
| UniquePoisoneddomains | 1355 |
| FilteredURLs/1000URLscrawled | 103.57 |
| Poisoneddomains/1000domainscrawled | 4.11 |
| 1
|
| | Counts |
| --- | --- |
| UniqueURLsCrawled | 1,113,653 |
| UniqueDomainsCrawled | 329,575 |
|
| Description | Count |
| --- | --- |
| Requests | 252036 |
| Responses | 251802 |
| URLsaccessed | 503838 |
| DistinctURLs | 201628 |
| Distincthosts | 9580 |
| Distincthosts(combined) | 8601 |
| 0
|
| | Counts |
| --- | --- |
| UniqueURLsCrawled | 1,113,653 |
| UniqueDomainsCrawled | 329,575 |
|
| UniqueFilteredURLs | 115,337 |
| --- | --- |
| UniquePoisoneddomains | 1355 |
| FilteredURLs/1000URLscrawled | 103.57 |
| Poisoneddomains/1000domainscrawled | 4.11 |
| 1
|
| | Counts |
| --- | --- |
| UniqueURLsCrawled | 1,113,653 |
| UniqueDomainsCrawled | 329,575 |
|
| Distincthosts | 9580 |
| --- | --- |
| Distincthosts(combined) | 8601 |
| 0
|
| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |
| --- | --- | --- | --- | --- |
| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |
| Total | 5286 | 1420 | 325 | - |
| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |
|
| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1351<br>1632<br>182<br>772<br>534<br>1767 | 207<br>266<br>43<br>135<br>100<br>250 | 188<br>312<br>30<br>106<br>99<br>272 | .153<br>.163<br>.236<br>.175<br>.187<br>.141 |
| --- | --- | --- | --- | --- |
| Total | 6238 | 1001 | 1007 | - |
| 1
|
| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |
| --- | --- | --- | --- | --- |
| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |
| Total | 5286 | 1420 | 325 | - |
| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |
|
| Data<br>Set | Repr | Degree<br>timemem | ConComp<br>timemem | PageRank<br>timemem | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| S1 | EXP<br>DEDUP1<br>BMP | 61<br>54<br>50 | 237<br>227<br>134 | 90<br>81<br>82 | 202<br>171<br>72 | 245<br>311<br>256 | 526<br>484<br>156 |
| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |
| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |
| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |
| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |
| 0
|
| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |
| --- | --- | --- | --- | --- |
| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |
|
| Total | 5286 | 1420 | 325 | - |
| --- | --- | --- | --- | --- |
| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |
| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1351<br>1632<br>182<br>772<br>534<br>1767 | 207<br>266<br>43<br>135<br>100<br>250 | 188<br>312<br>30<br>106<br>99<br>272 | .153<br>.163<br>.236<br>.175<br>.187<br>.141 |
| Total | 6238 | 1001 | 1007 | - |
| 1
|
| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |
| --- | --- | --- | --- | --- |
| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |
|
| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |
| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |
| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |
| 0
|
| Respondent | Gender | Age | Rankingofnewssources |
| --- | --- | --- | --- |
| 1 | F | 32 | TV>Radio>School/University>Newspapers/Mags.>Web>Sci.Mags. |
| 2 | F | 84 | TV>Radio>Newspapers/Mags.>School/University>Sci.Mags.>Web |
|
| 3 | F | 65 | TV>Newspapers/Mags.>Sci.Mags.>Radio>School/University>Web |
| --- | --- | --- | --- |
| 4 | M | 29 | Web>Radio>Newspapers/Mags.>TV>Sci.Mags.>School/University |
| 1
|
| Respondent | Gender | Age | Rankingofnewssources |
| --- | --- | --- | --- |
| 1 | F | 32 | TV>Radio>School/University>Newspapers/Mags.>Web>Sci.Mags. |
| 2 | F | 84 | TV>Radio>Newspapers/Mags.>School/University>Sci.Mags.>Web |
|
| | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| evaluating↓ | tweets | retweets | tweets | retweets | tweets | retweets |
| age(EN) | 0.288 | 0.322 | 0.298 | 0.294 | 0.263 | 0.340 |
| gender(EN) | 0.515 | 0.535 | 0.550 | 0.541 | 0.519 | 0.544 |
| age(SP) | 0.350 | 0.290 | 0.357 | 0.349 | 0.357 | 0.282 |
| gender(SP) | 0.532 | 0.510 | 0.525 | 0.544 | 0.549 | 0.504 |
| 0
|
| Respondent | Gender | Age | Rankingofnewssources |
| --- | --- | --- | --- |
| 1 | F | 32 | TV>Radio>School/University>Newspapers/Mags.>Web>Sci.Mags. |
|
| 2 | F | 84 | TV>Radio>Newspapers/Mags.>School/University>Sci.Mags.>Web |
| --- | --- | --- | --- |
| 3 | F | 65 | TV>Newspapers/Mags.>Sci.Mags.>Radio>School/University>Web |
| 4 | M | 29 | Web>Radio>Newspapers/Mags.>TV>Sci.Mags.>School/University |
| 1
|
| Respondent | Gender | Age | Rankingofnewssources |
| --- | --- | --- | --- |
| 1 | F | 32 | TV>Radio>School/University>Newspapers/Mags.>Web>Sci.Mags. |
|
| age(SP) | 0.350 | 0.290 | 0.357 | 0.349 | 0.357 | 0.282 |
| --- | --- | --- | --- | --- | --- | --- |
| gender(SP) | 0.532 | 0.510 | 0.525 | 0.544 | 0.549 | 0.504 |
| 0
|
| BaselineTardis | |
| --- | --- |
| StaticLease<br>SelfIncrementPeriod | 8<br>100memoryaccesses |
| LivelockDetector | |
| AHBsize<br>ThresholdCounter<br>CheckThreshold | 8entries<br>min100,max800<br>10 |
|
| LeasePrediction | |
| --- | --- |
| MinimalLeaseValue<br>MaximalLeaseValue | 8<br>64 |
| 1
|
| BaselineTardis | |
| --- | --- |
| StaticLease<br>SelfIncrementPeriod | 8<br>100memoryaccesses |
| LivelockDetector | |
| AHBsize<br>ThresholdCounter<br>CheckThreshold | 8entries<br>min100,max800<br>10 |
|
| ASRsystem | |
| --- | --- |
| Inputunits | 23 |
| Hiddenunits | 512 |
| Outputunits | 27293 |
| LSTMlayerdepth | 2 |
| MTsystem | |
| Sourcevocabulary | 27293 |
| Targetvocabulary | 33155 |
| Embedsize | 128 |
| Inputunits | 128 |
| Hiddenunits | 512 |
| Outputunits | 33155 |
| LSTMlayerdepth | 2 |
| Optimization | |
| Initiallearningrate | 0.001000 |
| Learningdescendrate | 1.800000 |
| Optimizingmethod | Adam |
| 0
|
| BaselineTardis | |
| --- | --- |
| StaticLease<br>SelfIncrementPeriod | 8<br>100memoryaccesses |
| LivelockDetector | |
| AHBsize<br>ThresholdCounter<br>CheckThreshold | 8entries<br>min100,max800<br>10 |
|
| LeasePrediction | |
| --- | --- |
| MinimalLeaseValue<br>MaximalLeaseValue | 8<br>64 |
| 1
|
| BaselineTardis | |
| --- | --- |
| StaticLease<br>SelfIncrementPeriod | 8<br>100memoryaccesses |
| LivelockDetector | |
| AHBsize<br>ThresholdCounter<br>CheckThreshold | 8entries<br>min100,max800<br>10 |
|
| Learningdescendrate | 1.800000 |
| --- | --- |
| Optimizingmethod | Adam |
| 0
|
| Model | (R,N) | Accuracy | Time | Speedup |
| --- | --- | --- | --- | --- |
| Children’sBookTest-NamedEntity | | | | |
|
| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.468<br>0.464<br>0.452 | 40.9s<br>30.3s<br>19.9s | 3.04x<br>4.11x<br>6.26x |
| --- | --- | --- | --- | --- |
| LSTM | n/a | 0.438 | 124.5s | 1x |
| Children’sBookTest-CommonNoun | | | | |
| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.493<br>0.487<br>0.497 | 39.3s<br>29.7s<br>19.8s | 3.09x<br>4.09x<br>6.14x |
| LSTM | n/a | 0.453 | 121.5s | 1x |
| 1
|
| Model | (R,N) | Accuracy | Time | Speedup |
| --- | --- | --- | --- | --- |
| Children’sBookTest-NamedEntity | | | | |
|
| Model | F1measure | | |
| --- | --- | --- | --- |
| | forward | backward | bidirectional |
| lstm<br>gru | 95.12<br>95.43 | –<br>– | 95.23<br>95.53 |
| E-rnn<br>J-rnn<br>I-rnn | 94.73<br>94.94<br>95.21 | 93.61<br>94.80<br>94.64 | 94.71<br>94.89<br>94.75 |
| I-rnnWordsGRU | 93.58 | 93.81 | 93.83 |
| I-rnnWords<br>I-rnnWords+Classes<br>I-rnnWords+Classes+CC | 94.31<br>95.37<br>95.40 | 94.32<br>95.44<br>95.39 | 94.47<br>95.56<br>95.46 |
| I-rnnWordsdeep<br>I-rnnWords+Classesdeep<br>I-rnnWords+Classes+CCdeep | 94.47<br>95.67<br>95.56 | 94.29<br>95.54<br>95.39 | 94.52<br>95.60<br>95.53 |
| 0
|
| Model | (R,N) | Accuracy | Time | Speedup |
| --- | --- | --- | --- | --- |
| Children’sBookTest-NamedEntity | | | | |
| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.468<br>0.464<br>0.452 | 40.9s<br>30.3s<br>19.9s | 3.04x<br>4.11x<br>6.26x |
| LSTM | n/a | 0.438 | 124.5s | 1x |
| Children’sBookTest-CommonNoun | | | | |
|
| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.493<br>0.487<br>0.497 | 39.3s<br>29.7s<br>19.8s | 3.09x<br>4.09x<br>6.14x |
| --- | --- | --- | --- | --- |
| LSTM | n/a | 0.453 | 121.5s | 1x |
| 1
|
| Model | (R,N) | Accuracy | Time | Speedup |
| --- | --- | --- | --- | --- |
| Children’sBookTest-NamedEntity | | | | |
| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.468<br>0.464<br>0.452 | 40.9s<br>30.3s<br>19.9s | 3.04x<br>4.11x<br>6.26x |
| LSTM | n/a | 0.438 | 124.5s | 1x |
| Children’sBookTest-CommonNoun | | | | |
|
| I-rnnWords<br>I-rnnWords+Classes<br>I-rnnWords+Classes+CC | 94.31<br>95.37<br>95.40 | 94.32<br>95.44<br>95.39 | 94.47<br>95.56<br>95.46 |
| --- | --- | --- | --- |
| I-rnnWordsdeep<br>I-rnnWords+Classesdeep<br>I-rnnWords+Classes+CCdeep | 94.47<br>95.67<br>95.56 | 94.29<br>95.54<br>95.39 | 94.52<br>95.60<br>95.53 |
| 0
|
| | position | orientation |
| --- | --- | --- |
| Kneip’smethod | 1.18E-05 | 1.02E-05 |
| Masselli’smethod | 1.84E-08 | 4.89E-10 |
|
| Proposedmethod | 1.66E-10 | 5.30E-12 |
| --- | --- | --- |
| Proposedmethod+Rootpolishing | 5.07E-11 | 1.53E-13 |
| 1
|
| | position | orientation |
| --- | --- | --- |
| Kneip’smethod | 1.18E-05 | 1.02E-05 |
| Masselli’smethod | 1.84E-08 | 4.89E-10 |
|
| Method\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |
| --- | --- | --- | --- | --- | --- |
| Gauss-Newton | 0 | | | | |
| GradientDescent | 9.5238 | 0 | 0 | 0 | 0 |
| Conjugate-Fletcher | 0.9524 | 0 | 1.9048 | 2.8571 | 41.905 |
| Conjugate-Polak | 8.5714 | 0 | 2.8571 | 18.095 | 69.524 |
| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |
| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |
| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 |
| 0
|
| | position | orientation |
| --- | --- | --- |
| Kneip’smethod | 1.18E-05 | 1.02E-05 |
| Masselli’smethod | 1.84E-08 | 4.89E-10 |
|
| Proposedmethod | 1.66E-10 | 5.30E-12 |
| --- | --- | --- |
| Proposedmethod+Rootpolishing | 5.07E-11 | 1.53E-13 |
| 1
|
| | position | orientation |
| --- | --- | --- |
| Kneip’smethod | 1.18E-05 | 1.02E-05 |
| Masselli’smethod | 1.84E-08 | 4.89E-10 |
|
| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |
| --- | --- | --- | --- | --- | --- |
| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |
| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 |
| 0
|
| Nodes | Communities |
| --- | --- |
| n1 | TUDelftresearchgroup-NAS |
| n2 | MITresearchgroup |
| n3 | CornellUniv.researchgroup |
|
| n4 | IEEE/ACMToNeditorialboard |
| --- | --- |
| n5 | KansasStateUniv.researchgroup |
| n6 | Ericsson |
| n7 | KPN(DutchTelecom) |
| n8 | Pianoclub |
| n9 | TNO(ADutchconsultingcompany) |
| n10 | Arockband |
| n11 | Asoccerteam |
| n12 | TUDelftresearchgroup-Bioinformatics |
| 1
|
| Nodes | Communities |
| --- | --- |
| n1 | TUDelftresearchgroup-NAS |
| n2 | MITresearchgroup |
| n3 | CornellUniv.researchgroup |
|
| CD | UoA | mn2017 | med2017 | mn2014 | med2014 |
| --- | --- | --- | --- | --- | --- |
| Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 |
| Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 |
| N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 |
| N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 |
| Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 |
| Y | Economics | 0.750 | 0.737 | 0.760 | 0.770 |
| Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |
| Y | ClinicalMedicine | 0.654 | 0.677 | 0.666 | 0.662 |
| Y | PublicHealthandPrimaryCare | 0.535 | 0.674 | 0.607 | 0.653 |
| Y | Physics | 0.600 | 0.666 | 0.627 | 0.605 |
| 0
|
| Nodes | Communities |
| --- | --- |
| n1 | TUDelftresearchgroup-NAS |
|
| n2 | MITresearchgroup |
| --- | --- |
| n3 | CornellUniv.researchgroup |
| n4 | IEEE/ACMToNeditorialboard |
| n5 | KansasStateUniv.researchgroup |
| n6 | Ericsson |
| n7 | KPN(DutchTelecom) |
| n8 | Pianoclub |
| n9 | TNO(ADutchconsultingcompany) |
| n10 | Arockband |
| n11 | Asoccerteam |
| n12 | TUDelftresearchgroup-Bioinformatics |
| 1
|
| Nodes | Communities |
| --- | --- |
| n1 | TUDelftresearchgroup-NAS |
|
| Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |
| --- | --- | --- | --- | --- | --- |
| Y | ClinicalMedicine | 0.654 | 0.677 | 0.666 | 0.662 |
| Y | PublicHealthandPrimaryCare | 0.535 | 0.674 | 0.607 | 0.653 |
| Y | Physics | 0.600 | 0.666 | 0.627 | 0.605 |
| 0
|
| k..kminmax | c±se | c±soute | c±sine |
| --- | --- | --- | --- |
| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |
| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |
| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |
| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |
|
| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |
| --- | --- | --- | --- |
| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |
| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |
| 1
|
| k..kminmax | c±se | c±soute | c±sine |
| --- | --- | --- | --- |
| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |
| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |
| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |
| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |
|
| \|A\| | | | |
| --- | --- | --- | --- |
| 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 |
| 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 |
| 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |
| 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 |
| 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 |
| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |
| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |
| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 |
| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |
| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |
| 0
|
| k..kminmax | c±se | c±soute | c±sine |
| --- | --- | --- | --- |
| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |
| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |
|
| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |
| --- | --- | --- | --- |
| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |
| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |
| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |
| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |
| 1
|
| k..kminmax | c±se | c±soute | c±sine |
| --- | --- | --- | --- |
| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |
| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |
|
| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |
| --- | --- | --- | --- |
| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |
| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 |
| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |
| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |
| 0
|
| Method | Time |
| --- | --- |
| FastTumorSegmentation(PHP) | 28.8ms |
|
| AccurateTumorSegmentation(PHP+CNN) | 151ms |
| --- | --- |
| HyMap | 931ms |
| ConvNetCNN3 | 97.1ms |
| MCTA | 228.12ms |
| TVIA | 109ms |
| 1
|
| Method | Time |
| --- | --- |
| FastTumorSegmentation(PHP) | 28.8ms |
|
| Method | Precision | Recall | F1-score |
| --- | --- | --- | --- |
| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |
| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |
| HyMap | 0.6469 | 0.7228 | 0.6827 |
| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |
| MCTA | 0.5429 | 0.9586 | 0.6932 |
| TVIA | 0.5334 | 0.9747 | 0.6895 |
| 0
|
| Method | Time |
| --- | --- |
| FastTumorSegmentation(PHP) | 28.8ms |
|
| AccurateTumorSegmentation(PHP+CNN) | 151ms |
| --- | --- |
| HyMap | 931ms |
| ConvNetCNN3 | 97.1ms |
| MCTA | 228.12ms |
| TVIA | 109ms |
| 1
|
| Method | Time |
| --- | --- |
| FastTumorSegmentation(PHP) | 28.8ms |
|
| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |
| --- | --- | --- | --- |
| HyMap | 0.6469 | 0.7228 | 0.6827 |
| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |
| MCTA | 0.5429 | 0.9586 | 0.6932 |
| TVIA | 0.5334 | 0.9747 | 0.6895 |
| 0
|
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