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
IJB-B
FPN
MegaFace
Prodpoly
YouTube Faces DB
SeqFace, 1 ResNet-64
Labeled Faces in the Wild
ArcFace + MS1MV2 + R100,
BTS3.1
Trillion Pairs Dataset
SV-AM-Softmax
AgeDB-30
CFP-FP
BUAA-VisNir
CASIA NIR-VIS 2.0
LightCNN-29 + DVG
LFW
ArcFaceR50 + EM-FRR
Oulu-CASIA NIR-VIS
CALFW
CPLFW
IJB-S
AdaFace+CSFM
CK+
SphereFace
IIIT-D Viewed Sketch
Oulu-CASIA
DeepId2+
QMUL-SurvFace