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Models/Distilled student

Distilled student

Reported on 12 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Computer Vision6 results

Face ReconstructiononAffectNet
Accuracy (7 emotion)· uses extra data· 2021-03-16
65.4
best: 72.93 (ResEmoteNet)
SOTA
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154
Facial Expression Recognition (FER)onAffectNet
Accuracy (7 emotion)· uses extra data· 2021-03-16
65.4
best: 72.93 (ResEmoteNet)
SOTA
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154
3D Face ReconstructiononAffectNet
Accuracy (7 emotion)· uses extra data· 2021-03-16
65.4
best: 72.93 (ResEmoteNet)
SOTA
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154
Face ReconstructiononAffectNet
Accuracy (8 emotion)· uses extra data· 2021-03-16
61.6
best: 68.69 (Norface)
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154
Facial Expression Recognition (FER)onAffectNet
Accuracy (8 emotion)· uses extra data· 2021-03-16
61.6
best: 68.69 (Norface)
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154
3D Face ReconstructiononAffectNet
Accuracy (8 emotion)· uses extra data· 2021-03-16
61.6
best: 68.69 (Norface)
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154

Music2 results

Facial Recognition and ModellingonAffectNet
Accuracy (7 emotion)· uses extra data· 2021-03-16
65.4
best: 72.93 (ResEmoteNet)
SOTA
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154
Facial Recognition and ModellingonAffectNet
Accuracy (8 emotion)· uses extra data· 2021-03-16
61.6
best: 68.69 (Norface)
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154

Methodology2 results

3DonAffectNet
Accuracy (7 emotion)· uses extra data· 2021-03-16
65.4
best: 72.93 (ResEmoteNet)
SOTA
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154
3DonAffectNet
Accuracy (8 emotion)· uses extra data· 2021-03-16
61.6
best: 68.69 (Norface)
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154

Medical2 results

3D Face ModellingonAffectNet
Accuracy (7 emotion)· uses extra data· 2021-03-16
65.4
best: 72.93 (ResEmoteNet)
SOTA
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154
3D Face ModellingonAffectNet
Accuracy (8 emotion)· uses extra data· 2021-03-16
61.6
best: 68.69 (Norface)
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition arXiv:2103.09154