Papers with Code · CC BY-SA 4.0

Facial Action Unit Detection

3D › 3D Face Reconstruction › Facial Recognition and Modelling › Facial Action Unit Detection 21 평가 기록 3 datasets

Facial action unit detection is the task of detecting action units from a video of a face - for example, lip tightening and cheek raising.

<span style="color:grey; opacity: 0.6">( Image credit: Self-supervised Representation Learning from Videos for Facial Action Unit Detection )</span>

논문

Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

2205.01782 2022-05-02 이 페이지의 평가 6건

Average F1: 63.1Average AUC: 92.9

Representation Learning and Identity Adversarial Training for Facial Behavior Understanding

2407.11243 2024-07-15 이 페이지의 평가 6건

Average F1: 70.1

Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment

1803.05588 2018-03-15 이 페이지의 평가 2건

Average F1: 56.0

Deep Region and Multi-Label Learning for Facial Action Unit Detection

2016-06-01 이 페이지의 평가 2건

Average F1: 26.7Average AUC: 52.3

Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition

2404.06443 2024-04-09 이 페이지의 평가 2건

Average F1: 66.2

Norface: Improving Facial Expression Analysis by Identity Normalization

2407.15617 2024-07-22 이 페이지의 평가 2건

Average F1: 72.7

Multi-View Dynamic Facial Action Unit Detection

1704.07863 2017-04-25 이 페이지의 평가 1건

Average F1: 63.0