Identification Rate vs. Distractors Size


Algorithm Date Submitted Set 1 Set 2 Set 3 Data Set Size
TencentAILab FaceCNN v1 08/30/2017 61.179% 61.179% 61.179% Large
Yang Sun (Reported by Author) 09/15/2016 53.067% Large
Team 2009 - (GT-CMU-SYSU) 09/15/2016 38.208% 38.208% 38.208% Large
3DiVi - (Andrey Bich/Andrey Tsybulevsky) 09/15/2016 35.79% 35.79% 35.79% Large
NEC - (Kihyuk Sohn/Xiang Yu/Manmohan Chandraker) 09/15/2016 29.294% 29.294% 29.294% Large
GRCCV - GRCCV 09/15/2016 21.039% 21.039% 21.039% Large
VeraID - (Daniel Saez Trigueros) 09/15/2016 16.086% 16.086% 16.086% Large
TSEC - (Haiyong Sun) 09/15/2016 11.566% 11.566% 11.566% Large
Baseline - Model C 09/15/2016 5.873% 5.873% 5.873% Large
Baseline - Model D 09/15/2016 2.77% 2.77% 2.77% Large
Baseline - Model A 09/15/2016 0.334% 0.334% 0.334% Large
Baseline - Model B 09/15/2016 0.189% 0.189% 0.189% Large

Rank-1 Identification Performance

Rank-10 Identification Performance





Set 1

JointBayes Verification Graph

Set 1

JointBayes Verification Graph
JointBayes Verification Graph






Set 2

JointBayes Verification Graph

Set 2

JointBayes Verification Graph






Set 3

JointBayes Verification Graph

Set 3

JointBayes Verification Graph

Identification Rank vs. Rank


Algorithm Date Submitted Set 1 Set 2 Set 3 Data Set Size
TencentAILab FaceCNN v1 08/30/2017 61.179% 61.179% 61.179% Large
Yang Sun (Reported by Author) 09/15/2016 53.067% Large
Team 2009 - (GT-CMU-SYSU) 09/15/2016 38.208% 38.208% 38.208% Large
3DiVi - (Andrey Bich/Andrey Tsybulevsky) 09/15/2016 35.79% 35.79% 35.79% Large
NEC - (Kihyuk Sohn/Xiang Yu/Manmohan Chandraker) 09/15/2016 29.294% 29.294% 29.294% Large
GRCCV - GRCCV 09/15/2016 21.039% 21.039% 21.039% Large
VeraID - (Daniel Saez Trigueros) 09/15/2016 16.086% 16.086% 16.086% Large
TSEC - (Haiyong Sun) 09/15/2016 11.566% 11.566% 11.566% Large
Baseline - Model C 09/15/2016 5.873% 5.873% 5.873% Large
Baseline - Model D 09/15/2016 2.77% 2.77% 2.77% Large
Baseline - Model A 09/15/2016 0.334% 0.334% 0.334% Large
Baseline - Model B 09/15/2016 0.189% 0.189% 0.189% Large

Identification Performance with 1 Million Distractors

Identification Performance with 10K Distractors





Set 1

JointBayes Verification Graph

Set 1

JointBayes Verification Graph
JointBayes Verification Graph







- -   uses large training set

Set 2

JointBayes Verification Graph

Set 2

JointBayes Verification Graph







- -   uses large training set

Set 3

JointBayes Verification Graph

Set 3

JointBayes Verification Graph

Verification


Algorithm Date Submitted Set 1 Set 2 Set 3 Data Set Size
TencentAILab FaceCNN v1 08/30/2017 63.496% 63.496% 63.496% Large
Yang Sun (Reported by Author) 09/15/2016 53.374% Large
Team 2009 - (GT-CMU-SYSU) 09/15/2016 39.101% 39.101% 39.101% Large
3DiVi - (Andrey Bich/Andrey Tsybulevsky) 09/15/2016 35.529% 35.529% 35.529% Large
NEC - (Kihyuk Sohn/Xiang Yu/Manmohan Chandraker) 09/15/2016 26.398% 26.398% 26.398% Large
GRCCV - GRCCV 09/15/2016 19.722% 19.722% 19.722% Large
VeraID - (Daniel Saez Trigueros) 09/15/2016 14.399% 14.399% 14.399% Large
Baseline - Model D 09/15/2016 3.01% 3.01% 3.01% Large
Baseline - Model C 09/15/2016 2.093% 2.093% 2.093% Large
TSEC - (Haiyong Sun) 09/15/2016 1.299% 1.299% 1.299% Large
Baseline - Model A 09/15/2016 1.01% 1.01% 1.01% Large
Baseline - Model B 09/15/2016 1.01% 1.01% 1.01% Large

Verification Performance with 1 Million Distractors

Verifification Performance with 10K Distractors





Set 1

JointBayes Verification Graph

Set 1

JointBayes Verification Graph
JointBayes Verification Graph






Set 2

JointBayes Verification Graph

Set 2

JointBayes Verification Graph






Set 3

JointBayes Verification Graph

Set 3

JointBayes Verification Graph