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Models/Local Learning Deep+BOW

Local Learning Deep+BOW

Reported on 6 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 Vision3 results

Face ReconstructiononFER2013
Accuracy· uses extra data· 2018-04-29
75.42
best: 82.47 (EfficientFER)
SOTA
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition arXiv:1804.10892
Facial Expression Recognition (FER)onFER2013
Accuracy· uses extra data· 2018-04-29
75.42
best: 82.47 (EfficientFER)
SOTA
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition arXiv:1804.10892
3D Face ReconstructiononFER2013
Accuracy· uses extra data· 2018-04-29
75.42
best: 82.47 (EfficientFER)
SOTA
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition arXiv:1804.10892

Music1 result

Facial Recognition and ModellingonFER2013
Accuracy· uses extra data· 2018-04-29
75.42
best: 82.47 (EfficientFER)
SOTA
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition arXiv:1804.10892

Methodology1 result

3DonFER2013
Accuracy· uses extra data· 2018-04-29
75.42
best: 82.47 (EfficientFER)
SOTA
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition arXiv:1804.10892

Medical1 result

3D Face ModellingonFER2013
Accuracy· uses extra data· 2018-04-29
75.42
best: 82.47 (EfficientFER)
SOTA
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition arXiv:1804.10892