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Facial Action Unit Detection On Disfa

Métriques

Average F1

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Average F1	Paper Title	Repository
MDHRM	66.2	Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition
FMAE-IAT	70.1	Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
FMAE	68.7	Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
JAA-Net	56.0	Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
Multi-dimensional Edge Feature-based AU Relation Graph (ResNet 50)	63.1	Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
DRML	26.7	Deep Region and Multi-Label Learning for Facial Action Unit Detection	-
Multi-dimensional Edge Feature-based AU Relation Graph (Swin-B)	62.4	Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
AUFormer	66.4	AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection	65.5	Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Norface	72.7	Norface: Improving Facial Expression Analysis by Identity Normalization

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