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Micro-gesture classification on SMG (test)

64.75AccuracyMS-G3D
40.549246.832153.11559.3979Mar 8, 2026

Evaluation results

MethodLinks
MS-G3DModality=Skeleton2026.0364.75——
UAAIModality=RGB2026.0363.47——
TRNModality=RGB2026.0359.51——
GCN-NASModality=Skeleton2026.0358.85——
TSMModality=RGB2026.0358.69——
Shift-GCNModality=Skeleton2026.0355.31——
Video MambaModality=RGB2026.0355.08——
TSNModality=RGB2026.0350.49——
MA-NetModality=RGB2026.0348.69——
C3DModality=RGB2026.0345.9——
2S-GCNModality=Skeleton2026.0343.11——
MSTCN-VAEModality=RGB2026.0342.59——
ST-GCNModality=Skeleton2026.0341.48——
AAGCNModality=Joint2023.07—60.4991.64
CTR-GCNModality=Joint2023.07—60.9890.82
DG-STGCNModality=Joint2023.07—65.5790.82
Joint Skeletal and Semantic Embedding LossModality=Joint2023.07—66.0791.8
Joint Skeletal and Semantic Embedding LossModality=Limb2023.07—65.5792.62
Joint Skeletal and Semantic Embedding LossModality=Joint&Limb2023.07—68.0394.76
PoseC3DModality=Joint2023.07—63.4488.2
PoseC3DModality=Limb2023.07—63.1193.77
ST-GCNModality=Joint2023.07—58.0393.61
ST-GCN++Modality=Joint2023.07—58.0393.61
StrongAugModality=Joint2023.07—62.7992.62