premise
string | hypothesis
string | label
int64 |
|---|---|---|
| Understandability | Similarity |
| --- | --- |
| 2.55 | 2.00 |
|
| 3.08 | 2.84 |
| --- | --- |
| 3.70 | 2.96 |
| 3.60 | 3.27 |
| 4.08 | 3.36 |
| 1
|
| Understandability | Similarity |
| --- | --- |
| 2.55 | 2.00 |
|
| Informationgainratio | Attribute |
| --- | --- |
| 1 | totalread |
| 0.1842 | wordlength |
| 0.1611 | totalfastasize |
| 0.1208 | totalgenomes |
| 0.0421 | length |
| 0.0271 | similarity |
| 0
|
| Understandability | Similarity |
| --- | --- |
| 2.55 | 2.00 |
|
| 3.08 | 2.84 |
| --- | --- |
| 3.70 | 2.96 |
| 3.60 | 3.27 |
| 4.08 | 3.36 |
| 1
|
| Understandability | Similarity |
| --- | --- |
| 2.55 | 2.00 |
|
| 0.1611 | totalfastasize |
| --- | --- |
| 0.1208 | totalgenomes |
| 0.0421 | length |
| 0.0271 | similarity |
| 0
|
| Corpus | Original | Ours | | |
| --- | --- | --- | --- | --- |
| P | R | P | R | |
| ApexDVDPlayer | 0.89 | 0.87 | 0.362 | 0.389 |
| CreativeMP3Player | 0.81 | 0.85 | 0.400 | 0.327 |
|
| NikonCamera | 0.84 | 0.85 | 0.380 | 0.404 |
| --- | --- | --- | --- | --- |
| NokiaPhone | 0.88 | 0.89 | 0.588 | 0.381 |
| CanonCamera | 0.87 | 0.85 | 0.400 | 0.341 |
| Average | 0.86 | 0.86 | 0.426 | 0.368 |
| 1
|
| Corpus | Original | Ours | | |
| --- | --- | --- | --- | --- |
| P | R | P | R | |
| ApexDVDPlayer | 0.89 | 0.87 | 0.362 | 0.389 |
| CreativeMP3Player | 0.81 | 0.85 | 0.400 | 0.327 |
|
| Corpus | Original | Ours | | |
| --- | --- | --- | --- | --- |
| P | R | P | R | |
| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |
| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |
| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |
| NokiaPhone | 0.92 | 0.86 | 0.287 | 0.359 |
| CanonCamera | 0.90 | 0.81 | 0.201 | 0.356 |
| Average | 0.88 | 0.83 | 0.220 | 0.330 |
| 0
|
| Corpus | Original | Ours | | |
| --- | --- | --- | --- | --- |
| P | R | P | R | |
| ApexDVDPlayer | 0.89 | 0.87 | 0.362 | 0.389 |
| CreativeMP3Player | 0.81 | 0.85 | 0.400 | 0.327 |
| NikonCamera | 0.84 | 0.85 | 0.380 | 0.404 |
| NokiaPhone | 0.88 | 0.89 | 0.588 | 0.381 |
|
| CanonCamera | 0.87 | 0.85 | 0.400 | 0.341 |
| --- | --- | --- | --- | --- |
| Average | 0.86 | 0.86 | 0.426 | 0.368 |
| 1
|
| Corpus | Original | Ours | | |
| --- | --- | --- | --- | --- |
| P | R | P | R | |
| ApexDVDPlayer | 0.89 | 0.87 | 0.362 | 0.389 |
| CreativeMP3Player | 0.81 | 0.85 | 0.400 | 0.327 |
| NikonCamera | 0.84 | 0.85 | 0.380 | 0.404 |
| NokiaPhone | 0.88 | 0.89 | 0.588 | 0.381 |
|
| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |
| --- | --- | --- | --- | --- |
| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |
| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |
| NokiaPhone | 0.92 | 0.86 | 0.287 | 0.359 |
| CanonCamera | 0.90 | 0.81 | 0.201 | 0.356 |
| Average | 0.88 | 0.83 | 0.220 | 0.330 |
| 0
|
| Cluster<br>(Size) | C1<br>(81) | C2<br>(36) | C3<br>(111) | C4<br>(40) | C5<br>(72) | C6<br>(75) |
| --- | --- | --- | --- | --- | --- | --- |
| Soccer | 43 | 5 | 1 | 1 | 8 | 10 |
| Tablet | 19 | 23 | 14 | 1 | 9 | 4 |
| News | 9 | 3 | 27 | 6 | 17 | 5 |
| Weather | 4 | 0 | 31 | 32 | 1 | 0 |
|
| Lecture | 4 | 2 | 32 | 0 | 17 | 13 |
| --- | --- | --- | --- | --- | --- | --- |
| Trailer | 2 | 3 | 6 | 0 | 20 | 43 |
| 1
|
| Cluster<br>(Size) | C1<br>(81) | C2<br>(36) | C3<br>(111) | C4<br>(40) | C5<br>(72) | C6<br>(75) |
| --- | --- | --- | --- | --- | --- | --- |
| Soccer | 43 | 5 | 1 | 1 | 8 | 10 |
| Tablet | 19 | 23 | 14 | 1 | 9 | 4 |
| News | 9 | 3 | 27 | 6 | 17 | 5 |
| Weather | 4 | 0 | 31 | 32 | 1 | 0 |
|
| Time/Image | Strategy1 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Mean | Sparse | Crowded | | | | | |
| Car | Bus | Van | Car | Bus | Van | | |
| 0.20s<br>0.08s<br>0.23s<br>0.31s | 70.17<br>70.04<br>63.23<br>46.44 | 81.82<br>81.40<br>79.94<br>60.93 | 85.60<br>84.39<br>83.71<br>66.68 | 78.65<br>77.39<br>76.79<br>60.14 | 56.80<br>53.76<br>51.74<br>26.08 | 55.78<br>54.06<br>32.95<br>24.55 | 62.38<br>69.23<br>54.26<br>40.24 |
| 0.03s<br>0.03s | 43.82<br>16.53 | 59.71<br>23.06 | 65.51<br>31.13 | 58.35<br>22.44 | 17.39<br>3.87 | 21.55<br>8.35 | 40.42<br>10.32 |
| 0
|
| Cluster<br>(Size) | C1<br>(81) | C2<br>(36) | C3<br>(111) | C4<br>(40) | C5<br>(72) | C6<br>(75) |
| --- | --- | --- | --- | --- | --- | --- |
| Soccer | 43 | 5 | 1 | 1 | 8 | 10 |
|
| Tablet | 19 | 23 | 14 | 1 | 9 | 4 |
| --- | --- | --- | --- | --- | --- | --- |
| News | 9 | 3 | 27 | 6 | 17 | 5 |
| Weather | 4 | 0 | 31 | 32 | 1 | 0 |
| Lecture | 4 | 2 | 32 | 0 | 17 | 13 |
| Trailer | 2 | 3 | 6 | 0 | 20 | 43 |
| 1
|
| Cluster<br>(Size) | C1<br>(81) | C2<br>(36) | C3<br>(111) | C4<br>(40) | C5<br>(72) | C6<br>(75) |
| --- | --- | --- | --- | --- | --- | --- |
| Soccer | 43 | 5 | 1 | 1 | 8 | 10 |
|
| 0.20s<br>0.08s<br>0.23s<br>0.31s | 70.17<br>70.04<br>63.23<br>46.44 | 81.82<br>81.40<br>79.94<br>60.93 | 85.60<br>84.39<br>83.71<br>66.68 | 78.65<br>77.39<br>76.79<br>60.14 | 56.80<br>53.76<br>51.74<br>26.08 | 55.78<br>54.06<br>32.95<br>24.55 | 62.38<br>69.23<br>54.26<br>40.24 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 0.03s<br>0.03s | 43.82<br>16.53 | 59.71<br>23.06 | 65.51<br>31.13 | 58.35<br>22.44 | 17.39<br>3.87 | 21.55<br>8.35 | 40.42<br>10.32 |
| 0
|
| Planktondensity(chl-a)field | ENT | ERR | | | |
| --- | --- | --- | --- | --- | --- |
| Explorationpolicy | Model | 1R | 2R | 1R | 2R |
| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 381.37<br>382.97<br>390.62<br>392.35<br>395.37 | 376.19<br>383.55<br>399.63<br>392.51<br>397.02 | 0.1827<br>0.2919<br>0.4145<br>0.2994<br>0.2764 | 0.2319<br>0.2579<br>0.3194<br>0.3356<br>0.2706 |
|
| Potassium(K)field | ENT | ERR | | | |
| --- | --- | --- | --- | --- | --- |
| Explorationpolicy | Model | 1R | 2R | 1R | 2R |
| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 47.330<br>61.080<br>67.084<br>58.704<br>59.058 | 48.287<br>56.181<br>59.318<br>64.186<br>67.390 | 0.0299<br>0.0457<br>0.0434<br>0.0431<br>0.0435 | 0.0213<br>0.0302<br>0.0358<br>0.0335<br>0.0343 |
| 1
|
| Planktondensity(chl-a)field | ENT | ERR | | | |
| --- | --- | --- | --- | --- | --- |
| Explorationpolicy | Model | 1R | 2R | 1R | 2R |
| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 381.37<br>382.97<br>390.62<br>392.35<br>395.37 | 376.19<br>383.55<br>399.63<br>392.51<br>397.02 | 0.1827<br>0.2919<br>0.4145<br>0.2994<br>0.2764 | 0.2319<br>0.2579<br>0.3194<br>0.3356<br>0.2706 |
|
| Method | S→U | E→H |
| --- | --- | --- |
| MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |
| HiGAN(nolabeledvideo) | 0.954 | 0.446 |
| KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 |
| HiGAN(threelabeledvideos) | 0.967 | 0.526 |
| 0
|
| Planktondensity(chl-a)field | ENT | ERR | | | |
| --- | --- | --- | --- | --- | --- |
| Explorationpolicy | Model | 1R | 2R | 1R | 2R |
|
| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 381.37<br>382.97<br>390.62<br>392.35<br>395.37 | 376.19<br>383.55<br>399.63<br>392.51<br>397.02 | 0.1827<br>0.2919<br>0.4145<br>0.2994<br>0.2764 | 0.2319<br>0.2579<br>0.3194<br>0.3356<br>0.2706 |
| --- | --- | --- | --- | --- | --- |
| Potassium(K)field | ENT | ERR | | | |
| Explorationpolicy | Model | 1R | 2R | 1R | 2R |
| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 47.330<br>61.080<br>67.084<br>58.704<br>59.058 | 48.287<br>56.181<br>59.318<br>64.186<br>67.390 | 0.0299<br>0.0457<br>0.0434<br>0.0431<br>0.0435 | 0.0213<br>0.0302<br>0.0358<br>0.0335<br>0.0343 |
| 1
|
| Planktondensity(chl-a)field | ENT | ERR | | | |
| --- | --- | --- | --- | --- | --- |
| Explorationpolicy | Model | 1R | 2R | 1R | 2R |
|
| KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 |
| --- | --- | --- |
| HiGAN(threelabeledvideos) | 0.967 | 0.526 |
| 0
|
| Method | Downtown | Parkway |
| --- | --- | --- |
| Baseline1 | 5.91 | 5.19 |
| Baseline2 | 3.55 | 3.64 |
|
| Baseline3 | 2.74 | 2.52 |
| --- | --- | --- |
| FCN-A | 3.07 | 2.75 |
| FCN-H | 2.48 | 2.30 |
| FCN-HA | 2.04 | 2.04 |
| FCN-dLSTM | 1.80 | 1.82 |
| FCN-rLSTM | 1.53 | 1.63 |
| 1
|
| Method | Downtown | Parkway |
| --- | --- | --- |
| Baseline1 | 5.91 | 5.19 |
| Baseline2 | 3.55 | 3.64 |
|
| Method | Downtown | Parkway | | |
| --- | --- | --- | --- | --- |
| MAE | ARA | MAE | ARA | |
| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |
| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |
| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |
| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |
| 0
|
| Method | Downtown | Parkway |
| --- | --- | --- |
| Baseline1 | 5.91 | 5.19 |
|
| Baseline2 | 3.55 | 3.64 |
| --- | --- | --- |
| Baseline3 | 2.74 | 2.52 |
| FCN-A | 3.07 | 2.75 |
| FCN-H | 2.48 | 2.30 |
| FCN-HA | 2.04 | 2.04 |
| FCN-dLSTM | 1.80 | 1.82 |
| FCN-rLSTM | 1.53 | 1.63 |
| 1
|
| Method | Downtown | Parkway |
| --- | --- | --- |
| Baseline1 | 5.91 | 5.19 |
|
| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |
| --- | --- | --- | --- | --- |
| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |
| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |
| 0
|
| Attributes | Possiblevalues |
| --- | --- |
| TYPE | or.INITIALSPREAD |
| STARTTIME | Timeatwhichthetracewasinitialized. |
| STARTINTENSITY | Initialintensityofthetrace. |
| INTENSITY | Apositiverealnumbersmallerthan300. |
| PATH | Alistof1to3parenttraces. |
|
| MAXINTENSITY | 300 |
| --- | --- |
| TARGETID | Usedforthetrackingmultipletargets. |
| 1
|
| Attributes | Possiblevalues |
| --- | --- |
| TYPE | or.INITIALSPREAD |
| STARTTIME | Timeatwhichthetracewasinitialized. |
| STARTINTENSITY | Initialintensityofthetrace. |
| INTENSITY | Apositiverealnumbersmallerthan300. |
| PATH | Alistof1to3parenttraces. |
|
| Symbol | Meaning |
| --- | --- |
| n | Numberofpatterns |
| p | Numberofinputs(features)inapattern |
| m | Numberofcolumns |
| q | Numberofproximalsynapsespercolumn |
| φ+ | Permanenceincrementamount |
| φ− | Permanencedecrementamount |
| φσ | Windowofpermanenceinitialization |
| ρs | Proximalsynapseactivationtreshold |
| ρd | Proximaldendritesegmentactivationtreshold |
| ρc | Desiredcolumnactivitylevel |
| sduty | Minimumactivitylevelscalingfactor |
| sboost | Permanenceboostingscalingfactor |
| β0 | Maximumboost |
| τ | Dutycycleperiod |
| 0
|
| Attributes | Possiblevalues |
| --- | --- |
| TYPE | or.INITIALSPREAD |
| STARTTIME | Timeatwhichthetracewasinitialized. |
| STARTINTENSITY | Initialintensityofthetrace. |
|
| INTENSITY | Apositiverealnumbersmallerthan300. |
| --- | --- |
| PATH | Alistof1to3parenttraces. |
| MAXINTENSITY | 300 |
| TARGETID | Usedforthetrackingmultipletargets. |
| 1
|
| Attributes | Possiblevalues |
| --- | --- |
| TYPE | or.INITIALSPREAD |
| STARTTIME | Timeatwhichthetracewasinitialized. |
| STARTINTENSITY | Initialintensityofthetrace. |
|
| φσ | Windowofpermanenceinitialization |
| --- | --- |
| ρs | Proximalsynapseactivationtreshold |
| ρd | Proximaldendritesegmentactivationtreshold |
| ρc | Desiredcolumnactivitylevel |
| sduty | Minimumactivitylevelscalingfactor |
| sboost | Permanenceboostingscalingfactor |
| β0 | Maximumboost |
| τ | Dutycycleperiod |
| 0
|
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |
| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |
|
| 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |
| --- | --- | --- | --- | --- |
| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |
| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |
| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |
| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |
| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |
| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |
| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |
| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |
| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 |
| 1
|
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |
| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |
|
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |
| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |
| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |
| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |
| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |
| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |
| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |
| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |
| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |
| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |
| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |
| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |
| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |
| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |
| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |
| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 |
| 17 | 0.0079676382 | 0.0083817985±0.0044648123 | 0.0085186328±0.0015278714 | 0.0079452633±0.0005104320 |
| 18 | 0.0000292668 | 0.0000429947±0.0000969077 | 0.0000348751±0.0000273052 | 0.0000292015±0.0000087025 |
| 0
|
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |
| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |
|
| 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |
| --- | --- | --- | --- | --- |
| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |
| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |
| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |
| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |
| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |
| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |
| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |
| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |
| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 |
| 1
|
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |
| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |
|
| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |
| --- | --- | --- | --- | --- |
| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |
| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |
| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |
| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |
| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |
| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |
| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |
| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |
| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 |
| 17 | 0.0079676382 | 0.0083817985±0.0044648123 | 0.0085186328±0.0015278714 | 0.0079452633±0.0005104320 |
| 18 | 0.0000292668 | 0.0000429947±0.0000969077 | 0.0000348751±0.0000273052 | 0.0000292015±0.0000087025 |
| 0
|
| 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 |
| 1
|
| 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 |
|
| c1 | c2 | c3 | c4 | c5 | AA | OA |
| --- | --- | --- | --- | --- | --- | --- |
| 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 |
| 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 |
| 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |
| 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 |
| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 |
| 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |
| 0
|
| 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 |
| 1
|
| 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 |
|
| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |
| 0
|
| Method | Protein | DNA | Music | Sports | Compound |
| --- | --- | --- | --- | --- | --- |
| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |
| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |
| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |
| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |
| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |
|
| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |
| --- | --- | --- | --- | --- | --- |
| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |
| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |
| CGK+SFM(D=8192) | 969 | 3,693 | 1,688 | 27,790 | 25,054 |
| CGK+SFM(D=16384) | 1,937 | 7,596 | 3,366 | 53,482 | 49,060 |
| LAK | 31,718 | - | - | - | - |
| GAK | 25,252 | >48h | 101,079 | >48h | >48h |
| ESP+Kernel | 20 | 28 | 162 | >48h | >48h |
| CGK+Kernel | 31 | 95 | 196 | >48h | >48h |
| 1
|
| Method | Protein | DNA | Music | Sports | Compound |
| --- | --- | --- | --- | --- | --- |
| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |
| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |
| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |
| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |
| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |
|
| Method | Protein | DNA | Music | Sports |
| --- | --- | --- | --- | --- |
| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |
| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |
| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) |
| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |
| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) |
| 0
|
| Method | Protein | DNA | Music | Sports | Compound |
| --- | --- | --- | --- | --- | --- |
| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |
| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |
| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |
| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |
| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |
| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |
| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |
| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |
|
| CGK+SFM(D=8192) | 969 | 3,693 | 1,688 | 27,790 | 25,054 |
| --- | --- | --- | --- | --- | --- |
| CGK+SFM(D=16384) | 1,937 | 7,596 | 3,366 | 53,482 | 49,060 |
| LAK | 31,718 | - | - | - | - |
| GAK | 25,252 | >48h | 101,079 | >48h | >48h |
| ESP+Kernel | 20 | 28 | 162 | >48h | >48h |
| CGK+Kernel | 31 | 95 | 196 | >48h | >48h |
| 1
|
| Method | Protein | DNA | Music | Sports | Compound |
| --- | --- | --- | --- | --- | --- |
| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |
| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |
| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |
| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |
| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |
| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |
| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |
| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |
|
| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |
| --- | --- | --- | --- | --- |
| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) |
| 0
|
| D1 | D2 | D3 |
| --- | --- | --- |
| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |
| 0.00960.01920.1801 | 0.00960.01920.1806 | 0.00950.01910.1758 |
|
| 0.00960.01910.1713 | 0.00970.01920.1726 | 0.00950.01910.1668 |
| --- | --- | --- |
| 0.00930.01880.1662 | 0.00940.01890.1686 | 0.00930.01880.1633 |
| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |
| 0.00910.01850.1509 | 0.00940.01890.1578 | 0.00920.01870.1519 |
| 1
|
| D1 | D2 | D3 |
| --- | --- | --- |
| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |
| 0.00960.01920.1801 | 0.00960.01920.1806 | 0.00950.01910.1758 |
|
| D1 | D2 | D3 |
| --- | --- | --- |
| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |
| 0.00960.01910.1635 | 0.00980.01930.1677 | 0.00970.01920.1611 |
| 0.00930.01880.1594 | 0.00950.0190.1641 | 0.00940.01890.1578 |
| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |
| 0.00910.01860.1557 | 0.00940.01890.1601 | 0.00920.01870.1552 |
| 0.0090.01840.1533 | 0.00920.01870.1585 | 0.00910.01850.1537 |
| 0
|
| D1 | D2 | D3 |
| --- | --- | --- |
| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |
|
| 0.00960.01920.1801 | 0.00960.01920.1806 | 0.00950.01910.1758 |
| --- | --- | --- |
| 0.00960.01910.1713 | 0.00970.01920.1726 | 0.00950.01910.1668 |
| 0.00930.01880.1662 | 0.00940.01890.1686 | 0.00930.01880.1633 |
| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |
| 0.00910.01850.1509 | 0.00940.01890.1578 | 0.00920.01870.1519 |
| 1
|
| D1 | D2 | D3 |
| --- | --- | --- |
| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |
|
| 0.00910.01860.1557 | 0.00940.01890.1601 | 0.00920.01870.1552 |
| --- | --- | --- |
| 0.0090.01840.1533 | 0.00920.01870.1585 | 0.00910.01850.1537 |
| 0
|
| | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |
| --- | --- | --- | --- | --- | --- |
| Kwapiszetal. | 90.41[86.54,94.28] | 71.27[52.07,90.47] | 70.15[65.06,75.24] | 13.04[10.19,15.90] | 66.67[59.21,74.14] |
|
| Cataletal. | 94.66[91.17,98.15] | 85.25[76.27,94.22] | 75.89[71.62,80.16] | 32.45[30.18,34.71] | 74.67[65.75,83.58] |
| --- | --- | --- | --- | --- | --- |
| Kimetal. | 93.90[90.05,97.74] | 81.57[73.50,89.64] | 64.20[58.88,69.53] | 38.05[37.01,39.09] | 64.60[59.73,69.47] |
| ChenandXue | 88.67[85.38,91.96] | 83.06[75.40,90.71] | 75.58[70.05,81.11] | − | − |
| JiangandYin | 51.46[35.35,67.57] | − | 74.88[71.28,78.48] | − | − |
| Haetal. | 88.34[84.91,91.78] | 73.79[59.56,88.02] | − | − | − |
| HaandChoi | 84.23[80.01,88.44] | 74.21[60.91,87.50] | − | − | − |
| MeanAccuracy | 84.52 | 78.19 | 72.14 | 27.84 | 68.64 |
| 1
|
| | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |
| --- | --- | --- | --- | --- | --- |
| Kwapiszetal. | 90.41[86.54,94.28] | 71.27[52.07,90.47] | 70.15[65.06,75.24] | 13.04[10.19,15.90] | 66.67[59.21,74.14] |
|
| | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |
| --- | --- | --- | --- | --- | --- |
| Kwapiszetal. | 99.03[98.41,99.64] | 93.86[93.03,94.70] | 75.74[72.06,79.43] | 11.34[09.42,13.27] | 67.83[62.21,73.45] |
| Cataletal. | 99.63[99.32,99.93] | 95.77[95.23,96.31] | 88.76[88.12,89.41] | 46.90[44.56,49.23] | 82.10[79.28,84.93] |
| Kimetal. | 99.70[99.40,100.0] | 92.84[92.31,93.37] | 86.80[85.89,87.71] | 48.02[46.28,49.76] | 73.03[69.91,76.16] |
| ChenandXue | 91.61[89.98,93.25] | 92.36[91.55,93.18] | 82.63[82.04,83.23] | − | − |
| JiangandYin | 51.00[29.29,72.70] | − | 76.77[75.78,77.77] | − | − |
| Haetal. | 90.85[88.96,92.75] | 90.77[89.45,92.09] | − | − | − |
| HaandChoi | 82.70[79.76,85.64] | 87.36[86.20,88.52] | − | − | − |
| MeanAccuracy | 87.78 | 92.16 | 82.14 | 35.41 | 74.32 |
| 0
|
| | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |
| --- | --- | --- | --- | --- | --- |
| Kwapiszetal. | 90.41[86.54,94.28] | 71.27[52.07,90.47] | 70.15[65.06,75.24] | 13.04[10.19,15.90] | 66.67[59.21,74.14] |
| Cataletal. | 94.66[91.17,98.15] | 85.25[76.27,94.22] | 75.89[71.62,80.16] | 32.45[30.18,34.71] | 74.67[65.75,83.58] |
| Kimetal. | 93.90[90.05,97.74] | 81.57[73.50,89.64] | 64.20[58.88,69.53] | 38.05[37.01,39.09] | 64.60[59.73,69.47] |
|
| ChenandXue | 88.67[85.38,91.96] | 83.06[75.40,90.71] | 75.58[70.05,81.11] | − | − |
| --- | --- | --- | --- | --- | --- |
| JiangandYin | 51.46[35.35,67.57] | − | 74.88[71.28,78.48] | − | − |
| Haetal. | 88.34[84.91,91.78] | 73.79[59.56,88.02] | − | − | − |
| HaandChoi | 84.23[80.01,88.44] | 74.21[60.91,87.50] | − | − | − |
| MeanAccuracy | 84.52 | 78.19 | 72.14 | 27.84 | 68.64 |
| 1
|
| | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |
| --- | --- | --- | --- | --- | --- |
| Kwapiszetal. | 90.41[86.54,94.28] | 71.27[52.07,90.47] | 70.15[65.06,75.24] | 13.04[10.19,15.90] | 66.67[59.21,74.14] |
| Cataletal. | 94.66[91.17,98.15] | 85.25[76.27,94.22] | 75.89[71.62,80.16] | 32.45[30.18,34.71] | 74.67[65.75,83.58] |
| Kimetal. | 93.90[90.05,97.74] | 81.57[73.50,89.64] | 64.20[58.88,69.53] | 38.05[37.01,39.09] | 64.60[59.73,69.47] |
|
| ChenandXue | 91.61[89.98,93.25] | 92.36[91.55,93.18] | 82.63[82.04,83.23] | − | − |
| --- | --- | --- | --- | --- | --- |
| JiangandYin | 51.00[29.29,72.70] | − | 76.77[75.78,77.77] | − | − |
| Haetal. | 90.85[88.96,92.75] | 90.77[89.45,92.09] | − | − | − |
| HaandChoi | 82.70[79.76,85.64] | 87.36[86.20,88.52] | − | − | − |
| MeanAccuracy | 87.78 | 92.16 | 82.14 | 35.41 | 74.32 |
| 0
|
| Method | Protocol | MF1Rank1 | MF1Veri. |
| --- | --- | --- | --- |
| SIATMMLAB<br>DeepSense-Small<br>SphereFace-Small<br>BeijingFaceAllV2<br>GRCCV<br>FUDAN-CSSDS | Small<br>Small<br>Small<br>Small<br>Small<br>Small | 65.23<br>70.98<br>75.76<br>76.66<br>77.67<br>77.98 | 76.72<br>82.85<br>90.04<br>77.60<br>74.88<br>79.19 |
| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Small<br>Small | 77.11<br>79.54 | 89.88<br>92.22 |
|
| BeijingFaceAllNorm1600<br>Google-FaceNetv8<br>NTechLAB-facenxlarge<br>SIATMMLABTencentVision<br>DeepSenseV2<br>YouTuLab<br>Vocord-deepVoV3 | Large<br>Large<br>Large<br>Large<br>Large<br>Large<br>Large | 64.80<br>70.49<br>73.30<br>74.20<br>81.29<br>83.29<br>91.76 | 67.11<br>86.47<br>85.08<br>87.27<br>95.99<br>91.34<br>94.96 |
| --- | --- | --- | --- |
| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Large<br>Large | 82.72<br>84.26 | 96.65<br>97.96 |
| 1
|
| Method | Protocol | MF1Rank1 | MF1Veri. |
| --- | --- | --- | --- |
| SIATMMLAB<br>DeepSense-Small<br>SphereFace-Small<br>BeijingFaceAllV2<br>GRCCV<br>FUDAN-CSSDS | Small<br>Small<br>Small<br>Small<br>Small<br>Small | 65.23<br>70.98<br>75.76<br>76.66<br>77.67<br>77.98 | 76.72<br>82.85<br>90.04<br>77.60<br>74.88<br>79.19 |
| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Small<br>Small | 77.11<br>79.54 | 89.88<br>92.22 |
|
| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |
| --- | --- | --- | --- | --- | --- |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |
| 0
|
| Method | Protocol | MF1Rank1 | MF1Veri. |
| --- | --- | --- | --- |
| SIATMMLAB<br>DeepSense-Small<br>SphereFace-Small<br>BeijingFaceAllV2<br>GRCCV<br>FUDAN-CSSDS | Small<br>Small<br>Small<br>Small<br>Small<br>Small | 65.23<br>70.98<br>75.76<br>76.66<br>77.67<br>77.98 | 76.72<br>82.85<br>90.04<br>77.60<br>74.88<br>79.19 |
| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Small<br>Small | 77.11<br>79.54 | 89.88<br>92.22 |
|
| BeijingFaceAllNorm1600<br>Google-FaceNetv8<br>NTechLAB-facenxlarge<br>SIATMMLABTencentVision<br>DeepSenseV2<br>YouTuLab<br>Vocord-deepVoV3 | Large<br>Large<br>Large<br>Large<br>Large<br>Large<br>Large | 64.80<br>70.49<br>73.30<br>74.20<br>81.29<br>83.29<br>91.76 | 67.11<br>86.47<br>85.08<br>87.27<br>95.99<br>91.34<br>94.96 |
| --- | --- | --- | --- |
| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Large<br>Large | 82.72<br>84.26 | 96.65<br>97.96 |
| 1
|
| Method | Protocol | MF1Rank1 | MF1Veri. |
| --- | --- | --- | --- |
| SIATMMLAB<br>DeepSense-Small<br>SphereFace-Small<br>BeijingFaceAllV2<br>GRCCV<br>FUDAN-CSSDS | Small<br>Small<br>Small<br>Small<br>Small<br>Small | 65.23<br>70.98<br>75.76<br>76.66<br>77.67<br>77.98 | 76.72<br>82.85<br>90.04<br>77.60<br>74.88<br>79.19 |
| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Small<br>Small | 77.11<br>79.54 | 89.88<br>92.22 |
|
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |
| --- | --- | --- | --- | --- | --- |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |
| 0
|
| production | frequency | period | volume |
| --- | --- | --- | --- |
| g1 | 1 | 6 | 15×15 |
| g,g13 | 2 | 6 | 15×15 |
| g,g,g123 | 3 | 6 | 14×15 |
| 3g,2g12 | 5 | 12 | 16×17 |
| 5g1 | 5 | 12 | 19×17 |
| 6g2 | 6 | 6 | 8×9 |
| 6g1 | 6 | 22 | 12×12 |
| 3g,4g12 | 7 | 12 | 14×14 |
|
| 3g,2g,2g124 | 7 | 12 | 15×17 |
| --- | --- | --- | --- |
| 5g,2g15 | 7 | 12 | 15×15 |
| 1
|
| production | frequency | period | volume |
| --- | --- | --- | --- |
| g1 | 1 | 6 | 15×15 |
| g,g13 | 2 | 6 | 15×15 |
| g,g,g123 | 3 | 6 | 14×15 |
| 3g,2g12 | 5 | 12 | 16×17 |
| 5g1 | 5 | 12 | 19×17 |
| 6g2 | 6 | 6 | 8×9 |
| 6g1 | 6 | 22 | 12×12 |
| 3g,4g12 | 7 | 12 | 14×14 |
|
| fac | fou | kar | mor | pix | zer | TransmissionCostAmongtheNodes |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 1 | 1 | 1 | 1 | 1 | 3.0×10 |
| 4 | 1 | 1 | 1 | 4 | 1 | 6.0×10 |
| 6 | 2 | 2 | 1 | 6 | 2 | 9.6×10 |
| 10 | 4 | 4 | 1 | 10 | 4 | 1.46×10 |
| 10 | 4 | 4 | 1 | 13 | 6 | 1.84×10 |
| 14 | 5 | 7 | 1 | 14 | 8 | 2.46×10 |
| 15 | 6 | 10 | 1 | 20 | 10 | 3.08×10 |
| 0
|
| production | frequency | period | volume |
| --- | --- | --- | --- |
| g1 | 1 | 6 | 15×15 |
| g,g13 | 2 | 6 | 15×15 |
| g,g,g123 | 3 | 6 | 14×15 |
| 3g,2g12 | 5 | 12 | 16×17 |
| 5g1 | 5 | 12 | 19×17 |
| 6g2 | 6 | 6 | 8×9 |
|
| 6g1 | 6 | 22 | 12×12 |
| --- | --- | --- | --- |
| 3g,4g12 | 7 | 12 | 14×14 |
| 3g,2g,2g124 | 7 | 12 | 15×17 |
| 5g,2g15 | 7 | 12 | 15×15 |
| 1
|
| production | frequency | period | volume |
| --- | --- | --- | --- |
| g1 | 1 | 6 | 15×15 |
| g,g13 | 2 | 6 | 15×15 |
| g,g,g123 | 3 | 6 | 14×15 |
| 3g,2g12 | 5 | 12 | 16×17 |
| 5g1 | 5 | 12 | 19×17 |
| 6g2 | 6 | 6 | 8×9 |
|
| 14 | 5 | 7 | 1 | 14 | 8 | 2.46×10 |
| --- | --- | --- | --- | --- | --- | --- |
| 15 | 6 | 10 | 1 | 20 | 10 | 3.08×10 |
| 0
|
| Datasets | Recognitiontasks | #Classes | #Train-Test |
| --- | --- | --- | --- |
| MNIST | Handwrittendigitsfrom0to9 | 10 | 60000-10000 |
| mnist-basic | SmallersubsetofMNIST | 10 | 12000-50000 |
| mnist-rot | Sameasbasicwithrotation | 10 | 12000-50000 |
| mnist-back-rand | Sameasbasicwithrandombackground | 10 | 12000-50000 |
| mnist-back-image | Sameasbasicwithimagebackground | 10 | 12000-50000 |
| mnist-rot-back-image | Sameasbasicwithrotationandimagebackground | 10 | 12000-50000 |
| rectangles | Tallorwiderectangles | 2 | 1200-50000 |
|
| rectangles-image | Sameasrect.withimagebackground | 2 | 12000-50000 |
| --- | --- | --- | --- |
| ConvexNonConvex | Convexornon-convexshapes | 2 | 8000-50000 |
| 1
|
| Datasets | Recognitiontasks | #Classes | #Train-Test |
| --- | --- | --- | --- |
| MNIST | Handwrittendigitsfrom0to9 | 10 | 60000-10000 |
| mnist-basic | SmallersubsetofMNIST | 10 | 12000-50000 |
| mnist-rot | Sameasbasicwithrotation | 10 | 12000-50000 |
| mnist-back-rand | Sameasbasicwithrandombackground | 10 | 12000-50000 |
| mnist-back-image | Sameasbasicwithimagebackground | 10 | 12000-50000 |
| mnist-rot-back-image | Sameasbasicwithrotationandimagebackground | 10 | 12000-50000 |
| rectangles | Tallorwiderectangles | 2 | 1200-50000 |
|
| Model | UCF-101 | HMDB-51 |
| --- | --- | --- |
| Two-Stream | 88.0 | 59.4 |
| IDT | 86.4 | 61.7 |
| DynamicImageNetworks+IDT | 89.1 | 65.2 |
| TDD+IDT | 91.5 | 65.9 |
| Two-StreamFusion+IDT | 93.5 | 69.2 |
| TemporalSegmentNetworks | 94.2 | 69.4 |
| ST-ResNet+IDT | 94.6 | 70.3 |
| DeepNetworks,Sports1Mpre-training | 65.2 | - |
| C3Donenetwork,Sports1Mpre-training | 82.3 | - |
| C3Densemble,Sports1Mpre-training | 85.2 | - |
| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |
| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |
| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |
| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |
| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |
| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |
| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |
| 0
|
| Datasets | Recognitiontasks | #Classes | #Train-Test |
| --- | --- | --- | --- |
| MNIST | Handwrittendigitsfrom0to9 | 10 | 60000-10000 |
| mnist-basic | SmallersubsetofMNIST | 10 | 12000-50000 |
| mnist-rot | Sameasbasicwithrotation | 10 | 12000-50000 |
| mnist-back-rand | Sameasbasicwithrandombackground | 10 | 12000-50000 |
| mnist-back-image | Sameasbasicwithimagebackground | 10 | 12000-50000 |
|
| mnist-rot-back-image | Sameasbasicwithrotationandimagebackground | 10 | 12000-50000 |
| --- | --- | --- | --- |
| rectangles | Tallorwiderectangles | 2 | 1200-50000 |
| rectangles-image | Sameasrect.withimagebackground | 2 | 12000-50000 |
| ConvexNonConvex | Convexornon-convexshapes | 2 | 8000-50000 |
| 1
|
| Datasets | Recognitiontasks | #Classes | #Train-Test |
| --- | --- | --- | --- |
| MNIST | Handwrittendigitsfrom0to9 | 10 | 60000-10000 |
| mnist-basic | SmallersubsetofMNIST | 10 | 12000-50000 |
| mnist-rot | Sameasbasicwithrotation | 10 | 12000-50000 |
| mnist-back-rand | Sameasbasicwithrandombackground | 10 | 12000-50000 |
| mnist-back-image | Sameasbasicwithimagebackground | 10 | 12000-50000 |
|
| ST-ResNet+IDT | 94.6 | 70.3 |
| --- | --- | --- |
| DeepNetworks,Sports1Mpre-training | 65.2 | - |
| C3Donenetwork,Sports1Mpre-training | 82.3 | - |
| C3Densemble,Sports1Mpre-training | 85.2 | - |
| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |
| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |
| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |
| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |
| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |
| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |
| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |
| 0
|
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |
| 15 | 25.1 | 82.95 | 83.4 | 81.15 | 49.65 | 79.65 | 84.8 | |
| 20 | 23.15 | 83.5 | 84 | 79.3 | 37.8 | 78.65 | 83.8 | |
|
| 25 | 18.65 | 81.35 | 82.65 | 74.05 | 30.35 | 75.3 | 83.15 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 30 | 18.6 | 77.95 | 79 | 71.5 | 24.1 | 72.9 | 82.05 |
| 35 | 16.95 | 71.2 | 73.4 | 67.75 | 21.05 | 71.45 | 79.05 |
| 1
|
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |
| 15 | 25.1 | 82.95 | 83.4 | 81.15 | 49.65 | 79.65 | 84.8 | |
| 20 | 23.15 | 83.5 | 84 | 79.3 | 37.8 | 78.65 | 83.8 | |
|
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |
| 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 | |
| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 | |
| 25 | 55.85 | 87 | 86.95 | 79.4 | 62.35 | 82.65 | 87.8 | |
| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 | |
| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 | |
| 0
|
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |
|
| 15 | 25.1 | 82.95 | 83.4 | 81.15 | 49.65 | 79.65 | 84.8 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 20 | 23.15 | 83.5 | 84 | 79.3 | 37.8 | 78.65 | 83.8 |
| 25 | 18.65 | 81.35 | 82.65 | 74.05 | 30.35 | 75.3 | 83.15 |
| 30 | 18.6 | 77.95 | 79 | 71.5 | 24.1 | 72.9 | 82.05 |
| 35 | 16.95 | 71.2 | 73.4 | 67.75 | 21.05 | 71.45 | 79.05 |
| 1
|
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |
|
| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 |
| 0
|
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