Facial Action Unit Detection on BP4D+ benchmark leaderboard · SOTA2 Research

Facial Action Unit Detection on BP4D+

0.542AU 1 F1FMAE-IAT

Evaluation Results

Method	Links
FMAE-IAT2024.07		0.542	0.47	0.539	0.857	0.884	0.912	0.897	0.824	0.503	0.544	0.61	0.434	0.668
FMAE2024.07		0.539	0.455	0.459	0.862	0.883	0.912	0.899	0.823	0.513	0.563	0.607	0.427	0.662
GLTE-Net2024.07		0.515	0.466	0.435	0.868	0.896	0.91	0.898	0.823	0.468	0.493	0.609	0.509	0.657
MFT2024.07		0.496	0.42	0.435	0.858	0.886	0.906	0.897	0.808	0.498	0.522	0.591	0.384	0.642
CLIP2024.07		0.494	0.397	0.389	0.857	0.876	0.906	0.89	0.806	0.449	0.503	0.561	0.328	0.621
MFT2024.07		0.484	0.371	0.344	0.856	0.886	0.907	0.888	0.81	0.476	0.515	0.556	0.369	0.622
SEV-Net2024.07		0.479	0.408	0.312	0.869	0.875	0.897	0.889	0.826	0.399	0.556	0.594	0.271	0.615
CLEF2024.07		0.475	0.396	0.402	0.865	0.873	0.905	0.899	0.816	0.47	0.466	0.543	0.415	0.631
ViT2024.07		0.456	0.382	0.355	0.859	0.883	0.903	0.89	0.819	0.458	0.488	0.572	0.346	0.616