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Facial Expression Recognition on AffectNet 8-way (test)

64.4AccuracyDCS
50.547254.143657.7461.3364Apr 29, 2018May 30, 2019Jun 30, 2020Aug 1, 2021Sep 2, 2022Oct 4, 2023Nov 4, 2024

Evaluation results

MethodLinks
DCS2024.1164.4————————
BTNYear=20242024.0764.29————————
QCS2024.1164.2————————
PF-ViT2023.1264.1————————
PF-VITbackbone=ViT-B, pre-training data=AffectNet-270K, venue=TCSS'242022.0764.1————————
POSTER++Year=20232024.0763.77————————
POSTER++year=20232024.1163.77————————
S2D w/o TMA2023.1263.76————————
POSTERYear=ICCV 20232024.0763.34————————
POSTERyear=20232024.1163.34————————
DMUE2023.1263.11————————
DMUEbackbone=Res-50IBN, pre-training data=Ms-Celeb-1M, venue=CVPR'212022.0763.11————————
DMUEyear=20212024.1163.11————————
S2D w/o TMAPre-trained on=AffectNet-82023.1263.06————————
S2Dyear=2024, Pre-trained=AffectNet-82024.1163.06————————
Multi-task EfficientNet-B2Year=IEEE 20222024.0763.03————————
MT-ArcResYear=BMVC 20192024.0763————————
ExpLLMYear=ours2024.0962.86————————
DMUEYear=CVPR'212024.0962.84————————
DMUEbackbone=ResNet-18, pre-training data=Ms-Celeb-1M, venue=CVPR'212022.0762.84————————
CLEFYear=ICCV'232024.0962.77————————
MRANbackbone=Hybrid ViT, pre-training data=MS-Celeb-1M, venue=TCSVT'232022.0762.48————————
MAE-VITbackbone=ViT-B, pre-training data=AffectNet-270K, venue=TCSS'242022.0762.42————————
MTACbackbone=Swin-S [58], pre-training data=ImageNet1K, venue=TMM'242022.0762.28————————
OursBackbone=ResNet-18, Pre-trained=true, Conference=NeurIPS'232023.1062.1678.654.363.859.557.664.159.460
DAN2021.0962.09————————
DANYear=Biomimetics 20232024.0762.09————————
MAE-VITbackbone=ViT-S, pre-training data=AffectNet-270K, venue=TCSS'242022.0762.06————————
CLIPER2023.1261.98————————
VTFFYear=TAC'212024.0961.85————————
AMP-Netbackbone=ResNet-34, pre-training data=VGGFace2, venue=TCSVT'222022.0761.74————————
SL + SSL in-panting-plYear=20222024.0761.72————————
VTFF2023.1261.58————————
VTFFbackbone=Hybrid ViT, pre-training data=MS-Celeb-1M, venue=TAFFC'232022.0761.58————————
MAE-VITbackbone=ViT-T, pre-training data=AffectNet-270K, venue=TCSS'242022.0761.45————————
MVIT2021.0961.4————————
MVT2023.1261.4————————
MVTbackbone=DeiT-S [44], pre-training data=ImageNet1K, venue=Arxiv'212022.0761.4————————
ARMYear=20212024.0761.33————————
EfficientNet-B02021.0961.32————————
FG-AGRbackbone=Hybrid ViT, pre-training data=MS-Celeb-1M, venue=TCSVT'232022.0760.69————————
PSR2021.0960.68————————
PSRYear=CVPR 20202024.0760.68————————
EACBackbone=ResNet-18, Pre-trained=true, Conference=ECCV'222023.1060.538458.86565.962.260.346.141.9
MA-NetYear=TIP 20212024.0760.29————————
SCN2021.0960.23————————
SCNYear=CVPR 20202024.0760.23————————
EfficientFaceYear=AAAI 20212024.0760.23————————
SCNYear=CVPR'202024.0960.23————————
SCN2023.1260.23————————
SCNyear=20202024.1160.23————————
EfficientFace2021.0959.89————————
CNNs and BOVW + local SVMData Augmentation (aug.)=true2018.0459.58————————
RAN2021.0959.5————————
CNNs and BOVW + local SVMData Augmentation (aug.)=false2018.0459.45————————
CNNs and BOVW + global SVMData Augmentation (aug.)=true2018.0459.3————————
ESR-92021.0959.3————————
CNNs and BOVW + global SVMData Augmentation (aug.)=false2018.0459.2————————
Mollahosseini et al.Data Augmentation (aug.)=true2018.0458————————
BBNBackbone=ResNet-18, Pre-trained=true, Conference=CVPR'202023.1057.978.458.460.667.759.4553746.7
Zeng et al.Data Augmentation (aug.)=true2018.0457.31————————
ResNet-182021.0956.84————————
RULBackbone=ResNet-18, Pre-trained=true, Conference=NeurIPS'212023.1055.087163.446.654.953.758.644.747.7
PhiNet2021.0954.82————————
SCNBackbone=ResNet-18, Pre-trained=true, Conference=CVPR'202023.1051.0894.674.958.263.840.943.230.82.2