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Face Recognition on CS2

89.8Rank-1 AccuracyAugmented Faces
36.03249.99163.9577.909Aug 7, 2015Sep 14, 2015Oct 22, 2015Nov 29, 2015Jan 6, 2016Feb 13, 2016Mar 23, 2016

Evaluation results

MethodLinks
Augmented FacesFine-tuning=false2016.0389.8——95.696.9
DCNNfusion=true2015.0889.1——95.797.2
Chen et al.Fine-tuning=true2016.0389.1——95.797.2
DCNNfinetuning=true, metric_learning=true, color_feature=true2015.0886.7——94.996.6
multi-pose deep face representation2016.0386.589.795.993.494.9
Deep Multi-PoseFine-tuning=false2016.0386.5——93.494.9
DCNN-all2016.0383.887.697.392.493.9
DCNNfinetuning=true, metric_learning=true2015.0883.8——92.494.9
[19]2016.038273.389.592.994.9
DCNNfinetuning=true2015.0876.8——87.491
DCNN2015.0869.4——80.985
Chen et al.Fine-tuning=false2016.0369.4——80.985
COTS2016.0355.158.176.169.474.1
COTS12015.0855.1——69.474.1
COTSFine-tuning=false2016.0355.1——69.474.1
GOTS2016.0341.346.767.551.762.4
GOTS2015.0841.3——57.162.4
GOTSFine-tuning=false2016.0341.3——57.162.4
FV2016.0338.141.170.455.963.7
FV2015.0838.1——55.963.7
Fisher VectorFine-tuning=false2016.0338.1——55.963.7
COTS12015.08—58.176.7——
DCNN2015.08—64.985.5——
DCNNfinetuning=true2015.08—76.590.2——
DCNNfinetuning=true, metric_learning=true2015.08—87.697.3——
DCNNfinetuning=true, metric_learning=true, color_feature=true2015.08—90.498.3——
DCNNfusion=true2015.08—92.198.5——
FV2015.08—41.170.4——
GOTS2015.08—46.767.5——