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Facial Action Unit Detection On Bp4D

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Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
Average F1
Paper TitleRepository
ResNet 5059.1Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition-
AUFormer66.2AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors-
Multi-dimensional Edge Feature-based AU Relation Graph (Swin-B)65.5Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition-
FMAE66.6Representation Learning and Identity Adversarial Training for Facial Behavior Understanding-
JAA-Net60.0Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment-
Norface69.3Norface: Improving Facial Expression Analysis by Identity Normalization-
Multi-View Dynamic Facial Action Unit Detection63.0Multi-View Dynamic Facial Action Unit Detection-
Multi-dimensional Edge Feature-based AU Relation Graph (ResNet 50)64.7Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition-
FMAE-IAT67.1Representation Learning and Identity Adversarial Training for Facial Behavior Understanding-
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection65.6Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection-
Swin-B62.6Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition-
MDHRD66.6Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition-
DRML48.3Deep Region and Multi-Label Learning for Facial Action Unit Detection-
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