Representation Learning and Identity Adversarial Training for Facial Behavior Understanding

Benchmark Model Rank Results
facial-action-unit-detection-on-bp4dFMAE-IAT#1Average F1: 67.1
facial-action-unit-detection-on-bp4dFMAE#3Average F1: 66.6
facial-action-unit-detection-on-bp4d-1FMAE-IAT#1Average F1: 66.8
facial-action-unit-detection-on-bp4d-1FMAE#3Average F1: 66.2
facial-action-unit-detection-on-disfaFMAE_IAT#2Average F1: 70.1
facial-action-unit-detection-on-disfaFMAE#3Average F1: 68.7
facial-expression-recognition-on-affectnetFMAE#3Accuracy (8 emotion): 64.79
facial-expression-recognition-on-raf-dbFMAE#2Overall Accuracy: 93.45