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Models/Ensemble with Shared Representations (ESR-9)

Ensemble with Shared Representations (ESR-9)

Reported on 12 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 Vision6 results

Face ReconstructiononFER+
Accuracy· uses extra data· 2020-01-17
87.15
best: 95.55 (PAtt-Lite)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338
Face ReconstructiononAffectNet
Accuracy (8 emotion)· 2020-01-17
59.3
best: 68.69 (Norface)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338
Facial Expression Recognition (FER)onFER+
Accuracy· uses extra data· 2020-01-17
87.15
best: 95.55 (PAtt-Lite)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338
Facial Expression Recognition (FER)onAffectNet
Accuracy (8 emotion)· 2020-01-17
59.3
best: 68.69 (Norface)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338
3D Face ReconstructiononFER+
Accuracy· uses extra data· 2020-01-17
87.15
best: 95.55 (PAtt-Lite)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338
3D Face ReconstructiononAffectNet
Accuracy (8 emotion)· 2020-01-17
59.3
best: 68.69 (Norface)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338

Music2 results

Facial Recognition and ModellingonFER+
Accuracy· uses extra data· 2020-01-17
87.15
best: 95.55 (PAtt-Lite)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338
Facial Recognition and ModellingonAffectNet
Accuracy (8 emotion)· 2020-01-17
59.3
best: 68.69 (Norface)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338

Methodology2 results

3DonFER+
Accuracy· uses extra data· 2020-01-17
87.15
best: 95.55 (PAtt-Lite)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338
3DonAffectNet
Accuracy (8 emotion)· 2020-01-17
59.3
best: 68.69 (Norface)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338

Medical2 results

3D Face ModellingonFER+
Accuracy· uses extra data· 2020-01-17
87.15
best: 95.55 (PAtt-Lite)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338
3D Face ModellingonAffectNet
Accuracy (8 emotion)· 2020-01-17
59.3
best: 68.69 (Norface)
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks arXiv:2001.06338