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Models/Dynamic MTL

Dynamic MTL

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 ReconstructiononOulu-CASIA
Accuracy (10-fold)· 2019-11-08
89.6
SOTA
Dynamic Multi-Task Learning for Face Recognition with Facial Expression arXiv:1911.03281
Facial Expression Recognition (FER)onOulu-CASIA
Accuracy (10-fold)· 2019-11-08
89.6
SOTA
Dynamic Multi-Task Learning for Face Recognition with Facial Expression arXiv:1911.03281
3D Face ReconstructiononOulu-CASIA
Accuracy (10-fold)· 2019-11-08
89.6
SOTA
Dynamic Multi-Task Learning for Face Recognition with Facial Expression arXiv:1911.03281

Music1 result

Facial Recognition and ModellingonOulu-CASIA
Accuracy (10-fold)· 2019-11-08
89.6
SOTA
Dynamic Multi-Task Learning for Face Recognition with Facial Expression arXiv:1911.03281

Methodology1 result

3DonOulu-CASIA
Accuracy (10-fold)· 2019-11-08
89.6
SOTA
Dynamic Multi-Task Learning for Face Recognition with Facial Expression arXiv:1911.03281

Medical1 result

3D Face ModellingonOulu-CASIA
Accuracy (10-fold)· 2019-11-08
89.6
SOTA
Dynamic Multi-Task Learning for Face Recognition with Facial Expression arXiv:1911.03281