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Models/ViT + SE

ViT + SE

Reported on 18 benchmarks across 6 tasks · 1 paper · 12 SOTA

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

Computer Vision9 results

Face ReconstructiononCK+
Accuracy (7 emotion)· uses extra data· 2021-07-07
99.8
best: 100 (PAtt-Lite)
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
Face ReconstructiononRaFD
Accuracy· 2021-07-07
87.22
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
Facial Expression Recognition (FER)onRaFD
Accuracy· 2021-07-07
87.22
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
Facial Expression Recognition (FER)onCK+
Accuracy (7 emotion)· uses extra data· 2021-07-07
99.8
best: 100 (PAtt-Lite)
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
3D Face ReconstructiononCK+
Accuracy (7 emotion)· uses extra data· 2021-07-07
99.8
best: 100 (PAtt-Lite)
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
3D Face ReconstructiononRaFD
Accuracy· 2021-07-07
87.22
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
Face ReconstructiononSFEW
Accuracy· 2021-07-07
54.29
best: 60.46 (Ada-DF)
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
Facial Expression Recognition (FER)onSFEW
Accuracy· 2021-07-07
54.29
best: 60.46 (Ada-DF)
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
3D Face ReconstructiononSFEW
Accuracy· 2021-07-07
54.29
best: 60.46 (Ada-DF)
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107

Music3 results

Facial Recognition and ModellingonCK+
Accuracy (7 emotion)· uses extra data· 2021-07-07
99.8
best: 100 (PAtt-Lite)
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
Facial Recognition and ModellingonRaFD
Accuracy· 2021-07-07
87.22
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
Facial Recognition and ModellingonSFEW
Accuracy· 2021-07-07
54.29
best: 60.46 (Ada-DF)
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107

Methodology3 results

3DonCK+
Accuracy (7 emotion)· uses extra data· 2021-07-07
99.8
best: 100 (PAtt-Lite)
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
3DonRaFD
Accuracy· 2021-07-07
87.22
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
3DonSFEW
Accuracy· 2021-07-07
54.29
best: 60.46 (Ada-DF)
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107

Medical3 results

3D Face ModellingonRaFD
Accuracy· 2021-07-07
87.22
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
3D Face ModellingonCK+
Accuracy (7 emotion)· uses extra data· 2021-07-07
99.8
best: 100 (PAtt-Lite)
SOTA
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107
3D Face ModellingonSFEW
Accuracy· 2021-07-07
54.29
best: 60.46 (Ada-DF)
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition arXiv:2107.03107