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Models/ViT-tiny

ViT-tiny

Reported on 18 benchmarks across 6 tasks · 1 paper

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

Computer Vision9 results

Face ReconstructiononFER+
Accuracy· 2022-07-22
88.56
best: 95.55 (PAtt-Lite)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
Face ReconstructiononRAF-DB
Overall Accuracy· 2022-07-22
87.03
best: 94.76 (ResEmoteNet)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
Face ReconstructiononAffectNet
Accuracy (8 emotion)· 2022-07-22
58.28
best: 68.69 (Norface)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
Facial Expression Recognition (FER)onFER+
Accuracy· 2022-07-22
88.56
best: 95.55 (PAtt-Lite)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
Facial Expression Recognition (FER)onRAF-DB
Overall Accuracy· 2022-07-22
87.03
best: 94.76 (ResEmoteNet)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
Facial Expression Recognition (FER)onAffectNet
Accuracy (8 emotion)· 2022-07-22
58.28
best: 68.69 (Norface)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
3D Face ReconstructiononFER+
Accuracy· 2022-07-22
88.56
best: 95.55 (PAtt-Lite)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
3D Face ReconstructiononRAF-DB
Overall Accuracy· 2022-07-22
87.03
best: 94.76 (ResEmoteNet)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
3D Face ReconstructiononAffectNet
Accuracy (8 emotion)· 2022-07-22
58.28
best: 68.69 (Norface)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081

Music3 results

Facial Recognition and ModellingonFER+
Accuracy· 2022-07-22
88.56
best: 95.55 (PAtt-Lite)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
Facial Recognition and ModellingonRAF-DB
Overall Accuracy· 2022-07-22
87.03
best: 94.76 (ResEmoteNet)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
Facial Recognition and ModellingonAffectNet
Accuracy (8 emotion)· 2022-07-22
58.28
best: 68.69 (Norface)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081

Methodology3 results

3DonFER+
Accuracy· 2022-07-22
88.56
best: 95.55 (PAtt-Lite)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
3DonRAF-DB
Overall Accuracy· 2022-07-22
87.03
best: 94.76 (ResEmoteNet)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
3DonAffectNet
Accuracy (8 emotion)· 2022-07-22
58.28
best: 68.69 (Norface)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081

Medical3 results

3D Face ModellingonFER+
Accuracy· 2022-07-22
88.56
best: 95.55 (PAtt-Lite)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
3D Face ModellingonRAF-DB
Overall Accuracy· 2022-07-22
87.03
best: 94.76 (ResEmoteNet)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081
3D Face ModellingonAffectNet
Accuracy (8 emotion)· 2022-07-22
58.28
best: 68.69 (Norface)
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers arXiv:2207.11081