Micro-gesture recognition on iMiGUE (test)
74.419Top-1 AccPoseConv3D+VideoSwinT+MG-FM-RGB
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PoseConv3D+VideoSwinT+MG-FM-RGBRank=MiGA’26 1st, Team=XInsight Lab (Ours), Modality=J + L + R + D2026.06 | 74.419 | — | |
| YUV solutionRank=MiGA’26 2nd, Team=YUV2026.06 | 74.243 | — | |
| PoseConv3D+VideoSwinTRank=MiGA’25 1st, Team=HFUT-VUT, Modality=J + L + R + T + F + D2026.06 | 73.213 | — | |
| xd solutionRank=MiGA’26 3rd, Team=xd2026.06 | 71.372 | — | |
| PoseConv3DRank=MiGA’24 1st, Team=HFUT-VUT, Modality=J + L + R2026.06 | 70.254 | — | |
| Res2Net3D+GCNRank=MiGA’24 2nd, Team=NPU-MUCIS, Modality=J + R2026.06 | 70.188 | — | |
| PoseConv3D+CLIPRank=MiGA’24 3rd, Team=ywww11, Modality=J + R2026.06 | 68.917 | — | |
| ViT-Base+GAIERank=MiGA’25 2nd, Team=awuniverse, Modality=R2026.06 | 68.697 | — | |
| PoseConv3DRank=MiGA’26 4th, Team=AIM, Modality=J + L + R2026.06 | 68.128 | — | |
| PoseConv3DRank=MiGA’25 3rd, Team=Lonelysheep, Modality=J + L2026.06 | 67.01 | — | |
| Joint Skeletal and Semantic Embedding LossRank=12023.07 | 64.12 | — | |
| Joint Skeletal and Semantic Embedding LossModality=Joint&Limb2023.07 | 64.12 | 91.1 | |
| PoseConv3DRank=MiGA’23 1st, Team=HFUT-VUT, Modality=J + L2026.06 | 64.12 | — | |
| Joint Skeletal and Semantic Embedding LossModality=Limb2023.07 | 63.48 | 91.01 | |
| NPU-StanfordRank=22023.07 | 63.02 | — | |
| HyperformerRank=MiGA’23 2nd, Team=NPU-Stanford, Modality=J2026.06 | 63.02 | — | |
| ChenxiCuiRank=32023.07 | 62.63 | — | |
| Joint Skeletal and Semantic Embedding LossModality=Joint2023.07 | 62.28 | 90.62 | |
| TSMSupervision Type=Supervised, Model+Modality=2DCNN + RGB2021.07 | 61.1 | 91.24 | |
| PoseC3DModality=Limb2023.07 | 60.74 | 90.51 | |
| PoseC3DModality=Joint2023.07 | 59.54 | 89.59 | |
| TRNSupervision Type=Supervised, Model+Modality=2DCNN + RGB2021.07 | 55.24 | 89.17 | |
| MS-G3DSupervision Type=Supervised, Model+Modality=GCN + Pose2021.07 | 54.91 | 89.98 | |
| AAGCNModality=Joint2023.07 | 54.73 | 84.59 | |
| GCN-NASSupervision Type=Supervised, Model+Modality=GCN + Pose2021.07 | 53.9 | 89.21 | |
| StrongAugModality=Joint2023.07 | 53.13 | 87 | |
| CTR-GCNModality=Joint2023.07 | 53.02 | 86.19 | |
| TSNSupervision Type=Supervised, Model+Modality=2DCNN + RGB2021.07 | 51.54 | 85.42 | |
| Shift-GCNSupervision Type=Supervised, Model+Modality=GCN + Pose2021.07 | 51.51 | 88.18 | |
| ST-GCN++Modality=Joint2023.07 | 49.56 | 85.09 | |
| DG-STGCNModality=Joint2023.07 | 49.56 | 85.09 | |
| 2S-GCNSupervision Type=Supervised, Model+Modality=GCN + Pose2021.07 | 47.78 | 88.43 | |
| ST-GCNSupervision Type=Supervised, Model+Modality=GCN + Pose2021.07 | 46.97 | 84.09 | |
| ST-GCNModality=Joint2023.07 | 46.38 | 85.47 | |
| I3DSupervision Type=Supervised, Model+Modality=3DCNN + RGB2021.07 | 34.96 | 63.69 | |
| U-S-VAESupervision Type=Unsupervised, Model+Modality=Encoder-Decoder + Pose2021.07 | 32.43 | 64.3 | |
| BLSTMSupervision Type=Supervised, Model+Modality=RNN + Pose2021.07 | 32.39 | 71.34 | |
| LSTMSupervision Type=Supervised, Model+Modality=RNN + Pose2021.07 | 32.36 | 72.93 | |
| P&CSupervision Type=Unsupervised, Model+Modality=Encoder-Decoder + Pose2021.07 | 31.67 | 64.93 | |
| S-VAESupervision Type=Supervised, Model+Modality=RNN + Pose2021.07 | 27.38 | 60.44 | |
| R3D-101Supervision Type=Supervised, Model+Modality=3DCNN + RGB2021.07 | 25.27 | 59.39 | |
| C3DSupervision Type=Supervised, Model+Modality=3DCNN + RGB2021.07 | 20.32 | 55.31 |