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Models/FN2EN

FN2EN

Reported on 12 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 Vision6 results

Face ReconstructiononCK+
Accuracy (6 emotion)· 2016-09-21
98.6
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591
Face ReconstructiononCK+
Accuracy (8 emotion)· 2016-09-21
96.8
best: 100 (EmoNeXt)
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591
Facial Expression Recognition (FER)onCK+
Accuracy (6 emotion)· 2016-09-21
98.6
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591
Facial Expression Recognition (FER)onCK+
Accuracy (8 emotion)· 2016-09-21
96.8
best: 100 (EmoNeXt)
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591
3D Face ReconstructiononCK+
Accuracy (6 emotion)· 2016-09-21
98.6
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591
3D Face ReconstructiononCK+
Accuracy (8 emotion)· 2016-09-21
96.8
best: 100 (EmoNeXt)
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591

Music2 results

Facial Recognition and ModellingonCK+
Accuracy (6 emotion)· 2016-09-21
98.6
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591
Facial Recognition and ModellingonCK+
Accuracy (8 emotion)· 2016-09-21
96.8
best: 100 (EmoNeXt)
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591

Methodology2 results

3DonCK+
Accuracy (6 emotion)· 2016-09-21
98.6
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591
3DonCK+
Accuracy (8 emotion)· 2016-09-21
96.8
best: 100 (EmoNeXt)
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591

Medical2 results

3D Face ModellingonCK+
Accuracy (6 emotion)· 2016-09-21
98.6
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591
3D Face ModellingonCK+
Accuracy (8 emotion)· 2016-09-21
96.8
best: 100 (EmoNeXt)
SOTA
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition arXiv:1609.06591