Micro-gesture Recognition on SMG MiGA Track-2 (2023-2026)
43.81F1 ScoreVideoMAEv2-g + AdaTAD
Evaluation Results
| Method | Links | |
|---|---|---|
| VideoMAEv2-g + AdaTADRank=MiGA’26 1st, Team=XInsight Lab, Modality=R2026.06 | 43.81 | |
| VideoMAEv2-g + DyFADetRank=MiGA’26 2nd, Team=AIM (Ours), Modality=R + S2026.06 | 40.88 | |
| VideoMAEv2-g + DyFADetRank=MiGA’25 1st, Team=HFUT-VUT, Modality=R2026.06 | 38.03 | |
| XD-LRank=MiGA’26 3rd, Team=XD-L, Modality=-2026.06 | 35.56 | |
| VideoMAE-g + DyFADetRank=MiGA’25 2nd, Team=Chutian Meng, Modality=R2026.06 | 31.54 | |
| PoseConv3DRank=MiGA’24 1st, Team=NPU-MUCIS, Modality=R + S2026.06 | 27.57 | |
| Graph-Conv+Multiscale TransformerRank=MiGA’23 1st, Team=NPU-Stanford, Modality=S2026.06 | 14.81 | |
| I3D+MambaRank=MiGA’24 2nd, Team=HFUT-VUT, Modality=R2026.06 | 14.35 | |
| ST-GCNRank=MiGA’23 2nd, Team=HFUT-VUT, Modality=S2026.06 | 4.67 |