Skeleton-based Action Recognition on NTU-60 (X-view)
98.7Accuracy3Mformer
Evaluation Results
| Method | Links | |
|---|---|---|
| 3MformerPooling strategy=rank-pool, Method Category=Transformer-based2023.03 | 98.7 | |
| 3MformerPooling strategy=attn-pool, Method Category=Transformer-based2023.03 | 98.5 | |
| 3MformerPooling strategy=tri-pool, Method Category=Transformer-based2023.03 | 98.5 | |
| ST-GCN++2023.04 | 98.3 | |
| JOLO-GCNModality=S2021.10 | 98.1 | |
| TSGCNeXt2023.04 | 97.82 | |
| 3MformerPooling strategy=max-pool, Method Category=Transformer-based2023.03 | 97.8 | |
| STGAT2023.04 | 97.3 | |
| 3MformerPooling strategy=avg-pool, Method Category=Transformer-based2023.03 | 97.3 | |
| HD-GCN2023.04 | 97.2 | |
| PoseC3D2023.04 | 97.1 | |
| InfoGCNVenue=CVPR'22, Method Category=Graph-based2023.03 | 97.1 | |
| PoseConv3DVenue=CVPR'22, Method Category=Graph-based2023.03 | 97.1 | |
| TCA-GCN2023.04 | 97 | |
| LST2023.04 | 97 | |
| ST-GCN++ (4s)Conference=CVPR2022, Streams=4s2023.04 | 97 | |
| TSGCNeXt (new4s)Streams=4s2023.04 | 96.98 | |
| TSGCNeXt (2s)Streams=2s2023.04 | 96.87 | |
| CTR-GCNConference=ICCV20212023.04 | 96.8 | |
| CTR-GCNVenue=ICCV'21, Method Category=Graph-based2023.03 | 96.8 | |
| STSTVenue=ACM MM'21, Method Category=Transformer-based2023.03 | 96.8 | |
| PSUMNet2023.04 | 96.7 | |
| ST-GCN++ (2s)Conference=CVPR2022, Streams=2s2023.04 | 96.7 | |
| SD-HGCNVenue=ICONIP'21, Method Category=Hypergraph-based2023.03 | 96.7 | |
| MTTVenue=LSP'21, Method Category=Transformer-based2023.03 | 96.7 | |
| DC-GCN+ADGConference=ECCV202023.04 | 96.6 | |
| DropGraphModality=S2021.10 | 96.6 | |
| Selective-HCNVenue=ICMR'22, Method Category=Hypergraph-based2023.03 | 96.6 | |
| 4s-GSTNVenue=Symmetry'22, Method Category=Transformer-based2023.03 | 96.6 | |
| Shift-GCNConference=CVPR202023.04 | 96.5 | |
| 4s Shift-GCNBones=true2020.08 | 96.5 | |
| Shift-GCNVenue=CVPR'20, Method Category=Graph-based2023.03 | 96.5 | |
| Sym-GNNVenue=TPAMI'22, Method Category=Graph-based2023.03 | 96.4 | |
| ST-TR-agcnBones=true2020.08 | 96.3 | |
| ST-TRVenue=CVIU'21, Method Category=Transformer-based2023.03 | 96.3 | |
| MS-G3DConference=CVPR202023.04 | 96.2 | |
| MS-G3D NetModality=Joint + Bone fusion2020.03 | 96.2 | |
| MS-G3DBones=true2020.08 | 96.2 | |
| MS-G3DVenue=CVPR'20, Method Category=Graph-based2023.03 | 96.2 | |
| TSGCNeXt (1s)Streams=1s2023.04 | 96.18 | |
| DGNNConference=CVPR192023.04 | 96.1 | |
| EfficientGCNConference=TPAMI222023.04 | 96.1 | |
| DGNN2020.03 | 96.1 | |
| DGNNBones=true2020.08 | 96.1 | |
| ST-TRBones=true2020.08 | 96.1 | |
| PA-ResGCN-B19Conference=ACMMM202023.04 | 96 | |
| Dynamic-GCNConference=ACMMM202023.04 | 96 | |
| 2s Shift-GCNBones=true2020.08 | 96 | |
| DHGCNVenue=CoRR'21, Method Category=Hypergraph-based2023.03 | 96 | |
| ST-TR-agcnBones=false2020.08 | 95.8 | |
| NAS-GCNVenue=AAAI'20, Method Category=Graph-based2023.03 | 95.7 | |
| Hyper-GNNVenue=TIP'21, Method Category=Hypergraph-based2023.03 | 95.7 | |
| ST-GCN++ (1s)Conference=CVPR2022, Streams=1s2023.04 | 95.6 | |
| ST-TRBones=false2020.08 | 95.6 | |
| DGNN (1s)Conference=CVPR19, Streams=1s2023.04 | 95.5 | |
| MS-G3D (1s)Conference=CVPR20, Streams=1s2023.04 | 95.3 | |
| MS-G3D NetModality=Bone Only2020.03 | 95.3 | |
| 2s-AGCNConference=CVPR19, Streams=2s2023.04 | 95.1 | |
| Shift-GCN (1s)Conference=CVPR20, Streams=1s2023.04 | 95.1 | |
| 2s-AGCN2020.03 | 95.1 | |
| 1s Shift-GCNBones=false2020.08 | 95.1 | |
| 2s-AGCNBones=true2020.08 | 95.1 | |
| 2S-AGCNVenue=CVPR'19, Method Category=Graph-based2023.03 | 95.1 | |
| AGC-LSTM2020.03 | 95 | |
| MS-G3D NetModality=Joint Only2020.03 | 95 | |
| AGC-LSTMBones=false2020.08 | 95 | |
| GR-GCN2020.03 | 94.3 | |
| AS-GCNConference=CVPR192023.04 | 94.2 | |
| AS-GCN2020.03 | 94.2 | |
| AS-GCNBones=false2020.08 | 94.2 | |
| AS-GCNVenue=CVPR'19, Method Category=Graph-based2023.03 | 94.2 | |
| 1s-AGCNBones=false2020.08 | 93.7 | |
| SANBones=false2020.08 | 92.7 | |
| ST-GR2020.03 | 92.3 | |
| AMRPatches=125, FLOPs=3.8G, Hours=3.7h, Speedup=8.1×, Protocol=linear evaluation protocol2026.06 | 92.3 | |
| GFPPatches=251, FLOPs=4.1G, Hours=4.9h, Speedup=6.1×, Protocol=linear evaluation protocol2026.06 | 92 | |
| HCN2020.03 | 91.1 | |
| NAT w/ ConPatches=750, FLOPs=32.8G, Hours=46.6h, Speedup=0.6×, Protocol=linear evaluation protocol2026.06 | 91 | |
| S-JEPAPatches=750, FLOPs=32.8G, Hours=139.8h, Speedup=0.2×, Protocol=linear evaluation protocol2026.06 | 89.8 | |
| MAMPPatches=750, FLOPs=13.7G, Hours=29.9h, Speedup=1×, Protocol=linear evaluation protocol2026.06 | 89.1 | |
| EleAtt-GRUData Augmentation=rotating skeleton sequences2018.07 | 88.4 | |
| ST-GCNConference=AAAI182023.04 | 88.3 | |
| ST-GCNBones=false2020.08 | 88.3 | |
| ST-GCNVenue=AAAI'18, Method Category=Graph-based2023.03 | 88.3 | |
| IndRNN2020.03 | 88 | |
| VA-LSTMBones=false2020.08 | 87.6 | |
| VA-LSTM2018.07 | 87.2 | |
| EleAtt-GRU2018.07 | 87.1 | |
| Clips + CNN + MTLN2018.07 | 84.8 | |
| GL-TransformerEvaluation Protocol=Linear2026.01 | 83.8 | |
| GL-TransformerEvaluation Protocol=Linear2026.01 | 83.8 | |
| 3s-CrosSCLREvaluation Protocol=Linear2026.01 | 83.4 | |
| 3s-CrosSCLREvaluation Protocol=Linear2026.01 | 83.4 | |
| URNN-2L-T2018.07 | 83.2 | |
| GCA-LSTM2018.07 | 82.8 | |
| MCAE-MP (1-NN)Modality=S, Classifier=1-NN2021.10 | 82.4 | |
| Baseline-GRULayers=32018.07 | 81.5 | |
| STA-LSTM2018.07 | 81.2 | |
| STA-LSTMBones=false2020.08 | 81.2 | |
| Variational Contrastive Learning (VCL)Evaluation Protocol=Linear, Backbone=ST-GCN2026.01 | 80.2 |