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Action Unit Detection on BP4D (5-fold cross-val)

68.5Average PerformanceSSM
64.3465.4266.567.58Apr 12, 2026

Evaluation results

MethodLinks
SSMBackbone=CLIP-ViT-B/16, Learning Protocol=Joint Learning2026.0468.56148.45681.883.184.988.770.759.56860.159.8
FLCMBackbone=ResNet-50, Learning Protocol=Joint Learning2026.0467.760.650.364.280.780.585.988.66857.363.45260.5
MAE-FaceBackbone=ViT-B/16, Learning Protocol=Joint Learning2026.0467.462.556.466.379.679.685.689.164.254.56553.851.8
CausalAffectBackbone=ResNet-50, Learning Protocol=Joint Learning2026.0467.467.143.66680.179.184.888.971.155.666.647.558.8
FMAE-IATBackbone=ViT-L/16, Learning Protocol=Joint Learning2026.0467.162.751.962.779.880.184.889.964.654.965.453.154.7
MDHRBackbone=Swin-B, Learning Protocol=Joint Learning2026.0466.658.350.958.978.480.384.988.269.55665.549.559.3
FMAEBackbone=ViT-L/16, Learning Protocol=Joint Learning2026.0466.659.25062.78079.284.789.863.552.865.155.356.9
HiVABackbone=Swin-B, Learning Protocol=Joint Learning2026.0466.554.349.763.379.379.884.588.868.55762.653.156.8
AUFormerBackbone=ViT-B/16, Learning Protocol=Joint Learning2026.0466.2————————————
STLBackbone=CLIP-ViT-B/16, Learning Protocol=Single-Task2026.0466.258.84860.578.479.684.388.869.551.765.753.155.7
CLEFBackbone=CLIP-ViT-B/16, Learning Protocol=Joint Learning2026.0465.955.846.863.379.577.683.687.867.355.263.55357.8
AU-TTTBackbone=ViT-S/16, Learning Protocol=Joint Learning2026.0465.6————————————
KSBackbone=ResNet-18, Learning Protocol=Joint Learning2026.0464.755.348.657.177.581.883.386.462.852.361.351.658.3
KSRLBackbone=ResNet-50, Learning Protocol=Joint Learning2026.0464.553.347.456.279.480.785.18967.455.961.948.549