Face Verification
Face Verification is a machine learning task in the field of computer vision that aims to determine whether two facial images belong to the same person by extracting features such as face shape and texture. The core objective of this task is to achieve efficient and accurate facial comparison and identity verification, which has a wide range of applications including security authentication, identity recognition, and access control scenarios.
IJB-C
circle loss
IJB-A
YouTube Faces DB
SeqFace, 1 ResNet-64
IJB-B
FPN
MegaFace
Prodpoly
Labeled Faces in the Wild
ArcFace + MS1MV2 + R100,
BTS3.1
Trillion Pairs Dataset
SV-AM-Softmax
AgeDB-30
CFP-FP
Oulu-CASIA NIR-VIS
CASIA NIR-VIS 2.0
LightCNN-29 + DVG
BUAA-VisNir
LFW
ArcFaceR50 + EM-FRR
IJB-S
AdaFace+CSFM
CPLFW
CALFW
IIIT-D Viewed Sketch
QMUL-SurvFace
CK+
SphereFace
Oulu-CASIA
DeepId2+