[{"caption":"Table 3: Closed-and open-set identification tasks on LFW. \n\n","rows":["COTS - s1+s4 [ 3 ]","WST Fusion [ 32 ]","COTS - s1 [ 3 ]","DeepID2+","DeepFace [ 31 ]"],"columns":["Rank - 1 ( % )","DIR"],"mergedAllColumns":["FAR ( % )","35","25"],"numberCells":[{"number":"56.7","isBolded":false,"associatedRows":["COTS - s1 [ 3 ]"],"associatedColumns":["Rank - 1 ( % )"],"associatedMergedColumns":["FAR ( % )"]},{"number":"82.5","isBolded":false,"associatedRows":["WST Fusion [ 32 ]"],"associatedColumns":["Rank - 1 ( % )"],"associatedMergedColumns":["35"]},{"number":"61.9","isBolded":false,"associatedRows":["WST Fusion [ 32 ]"],"associatedColumns":["DIR"],"associatedMergedColumns":["35"]},{"number":"95.0","isBolded":true,"associatedRows":["DeepID2+"],"associatedColumns":["Rank - 1 ( % )"],"associatedMergedColumns":["35"]},{"number":"80.7","isBolded":true,"associatedRows":["DeepID2+"],"associatedColumns":["DIR"],"associatedMergedColumns":["35"]},{"number":"44.5","isBolded":false,"associatedRows":["DeepFace [ 31 ]"],"associatedColumns":["DIR"],"associatedMergedColumns":["35"]},{"number":"66.5","isBolded":false,"associatedRows":["COTS - s1+s4 [ 3 ]"],"associatedColumns":["Rank - 1 ( % )"],"associatedMergedColumns":["25"]},{"number":"64.9","isBolded":false,"associatedRows":["DeepFace [ 31 ]"],"associatedColumns":["Rank - 1 ( % )"],"associatedMergedColumns":["35"]}]},{"caption":"Table 4: Comparison of the original DeepID2+ features and \nits binarized representation for face verification on LFW. \nThe first two rows of results are accuracies of the original \n(real-valued) FC-4 layer representation of a single net (real \nsingle) and of the 25 nets (real comb.), respectively, with \nJoint Bayesian as the similarity metrics. The last two \nrows of results are accuracies of the corresponding binary \nrepresentations, with Joint Bayesian or Hamming distance \nas the similarity metrics, respectively. \n\n","rows":["binary single","real single","real comb .","binary comb ."],"columns":["( % )","Hamming dis -","Joint Bayesian","tance ( % )"],"mergedAllColumns":["6 . Selectiveness on identities and attributes","N / A"],"numberCells":[{"number":"97.47","isBolded":false,"associatedRows":["binary comb ."],"associatedColumns":["Hamming dis -","tance ( % )"],"associatedMergedColumns":["N / A"]},{"number":"98.70","isBolded":false,"associatedRows":["real single"],"associatedColumns":["Joint Bayesian","( % )"],"associatedMergedColumns":[]},{"number":"97.67","isBolded":false,"associatedRows":["binary single"],"associatedColumns":["Joint Bayesian","( % )"],"associatedMergedColumns":["N / A"]},{"number":"99.47","isBolded":false,"associatedRows":["real comb ."],"associatedColumns":["Joint Bayesian","( % )"],"associatedMergedColumns":["N / A"]},{"number":"99.12","isBolded":false,"associatedRows":["binary comb ."],"associatedColumns":["Joint Bayesian","( % )"],"associatedMergedColumns":["N / A"]},{"number":"96.45","isBolded":false,"associatedRows":["binary single"],"associatedColumns":["Hamming dis -","tance ( % )"],"associatedMergedColumns":["N / A"]},{"number":"6.1.Discriminativepowerofneurons","isBolded":true,"associatedRows":[],"associatedColumns":["Joint Bayesian","( % )"],"associatedMergedColumns":["6 . Selectiveness on identities and attributes"]}]}]