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.
AgeDB-30
BTS3.1
BUAA-VisNir
CALFW
CASIA NIR-VIS 2.0
LightCNN-29 + DVG
CFP-FP
CK+
SphereFace
CPLFW
IIIT-D Viewed Sketch
IJB-A
IJB-B
CAFace+AdaFace (WebFace4M)
IJB-C
PartialFC
IJB-S
AdaFace+CSFM
Labeled Faces in the Wild
ArcFace + MS1MV2 + R100,
LFW
ArcFaceR50 + EM-FRR
MegaFace
Prodpoly
Oulu-CASIA
DeepId2+
Oulu-CASIA NIR-VIS
QMUL-SurvFace
Trillion Pairs Dataset
SV-AM-Softmax
YouTube Faces DB
SeqFace, 1 ResNet-64