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Facial Expression Recognition on AffectNet (test)

73.68AccuracyNorface
40.285648.955357.62566.2947Jul 22, 2024Aug 6, 2024Aug 21, 2024Sep 5, 2024Sep 20, 2024Oct 5, 2024Oct 21, 2024

Evaluation results

MethodLinks
NorfaceTraining dataset=RAF-DB, Evaluation protocol=Cross-dataset2024.0773.68——
Norface2024.0768.69——
GReFELVenue=Current Paper2024.1068.02——
LA-Net2024.0767.6——
TransFER2024.0766.23——
Tr.FERVenue=ICCV'212024.1066.23——
LA-NetVenue=ICCV'232024.1064.54——
Meta-Face2Exp2024.0764.23——
F2ExpVenue=CVPR'222024.1064.23——
CA-FERTraining dataset=RAF-DB, Evaluation protocol=Cross-dataset2024.0764.12——
Latent-OFER2024.0763.9——
L.OFERVenue=ICCV'232024.1063.9——
PSR2024.0763.77——
POSTER++Venue='232024.1063.76——
DLN2024.0763.7——
POSTERVenue=IC-W'222024.1063.34——
DMUE2024.0763.11——
TransFERTraining dataset=RAF-DB, Evaluation protocol=Cross-dataset2024.0762.48——
DANVenue=Bioinf.'232024.1062.09——
DMUEVenue=CVPR'212024.1061.21——
EACVenue=ECCV'222024.1061.11——
RULVenue=NIPS'212024.1060.65——
Eff.FaceVenue=AAAI'212024.1059.89——
LDL-ALSG2024.0759.35——
SCNVenue=CVPR'202024.1056.35——
RANVenue=TIP'202024.1052.97——
RANDATraining dataset=RAF-DB, Evaluation protocol=Cross-dataset2024.0752.34——
FDRLTraining dataset=RAF-DB, Evaluation protocol=Cross-dataset2024.0741.57——
MotivNetBackbone=ViT2025.12—62.5283.5
ResEmoteNetSOTA Model Category=Domain-Specific2025.12—72.93—