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Models/ResEmoteNet

ResEmoteNet

Reported on 24 benchmarks across 6 tasks · 1 paper · 24 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision12 results

Face ReconstructiononExpW
Accuracy· 2024-09-01
75.67
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Face ReconstructiononFER2013
Accuracy· uses extra data· 2024-09-01
79.79
best: 82.47 (EfficientFER)
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Face ReconstructiononRAF-DB
Overall Accuracy· uses extra data· 2024-09-01
94.76
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Face ReconstructiononAffectNet
Accuracy (7 emotion)· uses extra data· 2024-09-01
72.93
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Facial Expression Recognition (FER)onExpW
Accuracy· 2024-09-01
75.67
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Facial Expression Recognition (FER)onRAF-DB
Overall Accuracy· uses extra data· 2024-09-01
94.76
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Facial Expression Recognition (FER)onFER2013
Accuracy· uses extra data· 2024-09-01
79.79
best: 82.47 (EfficientFER)
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Facial Expression Recognition (FER)onAffectNet
Accuracy (7 emotion)· uses extra data· 2024-09-01
72.93
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3D Face ReconstructiononExpW
Accuracy· 2024-09-01
75.67
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3D Face ReconstructiononFER2013
Accuracy· uses extra data· 2024-09-01
79.79
best: 82.47 (EfficientFER)
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3D Face ReconstructiononRAF-DB
Overall Accuracy· uses extra data· 2024-09-01
94.76
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3D Face ReconstructiononAffectNet
Accuracy (7 emotion)· uses extra data· 2024-09-01
72.93
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545

Music4 results

Facial Recognition and ModellingonExpW
Accuracy· 2024-09-01
75.67
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Facial Recognition and ModellingonFER2013
Accuracy· uses extra data· 2024-09-01
79.79
best: 82.47 (EfficientFER)
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Facial Recognition and ModellingonRAF-DB
Overall Accuracy· uses extra data· 2024-09-01
94.76
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
Facial Recognition and ModellingonAffectNet
Accuracy (7 emotion)· uses extra data· 2024-09-01
72.93
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545

Methodology4 results

3DonExpW
Accuracy· 2024-09-01
75.67
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3DonFER2013
Accuracy· uses extra data· 2024-09-01
79.79
best: 82.47 (EfficientFER)
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3DonRAF-DB
Overall Accuracy· uses extra data· 2024-09-01
94.76
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3DonAffectNet
Accuracy (7 emotion)· uses extra data· 2024-09-01
72.93
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545

Medical4 results

3D Face ModellingonExpW
Accuracy· 2024-09-01
75.67
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3D Face ModellingonRAF-DB
Overall Accuracy· uses extra data· 2024-09-01
94.76
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3D Face ModellingonFER2013
Accuracy· uses extra data· 2024-09-01
79.79
best: 82.47 (EfficientFER)
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545
3D Face ModellingonAffectNet
Accuracy (7 emotion)· uses extra data· 2024-09-01
72.93
SOTA
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition arXiv:2409.10545