Skeleton-based Action Recognition on NTU RGB+D (Cross-View)
98.2AccuracySkeletonAgent
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SkeletonAgentEnsemble size=62025.11 | 98.2 | — | — | |
| SkeletonAgentEnsemble size=42025.11 | 98 | — | — | |
| SkateFormerPublication=ECCV 20242025.11 | 97.8 | — | — | |
| ProtoGCNPublication=CVPR 20252025.11 | 97.8 | — | — | |
| Hyper-GCNPublication=ICCV 20252025.11 | 97.8 | — | — | |
| SkeletonAgentEnsemble size=22025.11 | 97.7 | — | — | |
| DS-GCNPublication=AAAI 20242025.11 | 97.5 | — | — | |
| PYSKLPublication=ACM MM 20222025.11 | 97.4 | — | — | |
| HD-GCNPublication=ICCV 20232025.11 | 97.2 | — | — | |
| Skeleton MixFormerPublication=ACM MM 20232025.11 | 97.2 | — | — | |
| InfoGCNPublication=CVPR 20222025.11 | 97.1 | — | — | |
| UPSPublication=CVPR 20232025.11 | 97 | — | — | |
| GAPPublication=ICCV 20232025.11 | 97 | — | — | |
| BlockGCNPublication=CVPR 20242025.11 | 97 | — | — | |
| STFPublication=AAAI 20222025.11 | 96.9 | — | — | |
| CTR-GCN2023.01 | 96.8 | — | — | |
| CTR-GCNPublication=ICCV 20212025.11 | 96.8 | — | — | |
| FR-HeadPublication=CVPR 20232025.11 | 96.8 | — | — | |
| CTR-GCNParam. (M)=1.46, FLOPs (G)=7.88, Power (mJ)=36.252025.12 | 96.8 | — | — | |
| FR-HeadParam. (M)=1.3, FLOPs (G)=7.08, Power (mJ)=32.572025.12 | 96.8 | — | — | |
| Info-GCNParam. (M)=1.6, FLOPs (G)=7.36, Power (mJ)=33.862025.12 | 96.7 | — | — | |
| DeCoupleGCNYear=2020, # Ens=4, # Params (M)=13.72, GFlops=102.32021.05 | 96.6 | — | — | |
| MST-GCNPublication=AAAI 20212025.11 | 96.6 | — | — | |
| 4s Shift-GCN2023.01 | 96.5 | — | — | |
| Shift-GCNFLOPs (G)=10, Power (mJ)=462025.12 | 96.5 | — | — | |
| MSTYear=2021, # Ens=22021.05 | 96.4 | — | — | |
| FGCN2020.03 | 96.3 | — | — | |
| AGE-EnsInput=S(B)&S(J+B)&V(J+B), # Ens=32021.05 | 96.3 | — | — | |
| AGE-EnsInput=S(J)&S(B)&S(J+B)&V(J+B), # Ens=42021.05 | 96.3 | — | — | |
| Action Capsules2023.01 | 96.3 | — | — | |
| MS-AAGCNNets=GCN2020.03 | 96.2 | — | — | |
| MS-AAGCNYear=2019, Architecture=GCN2020.03 | 96.2 | — | — | |
| MS-G3DYear=2020, # Ens=2, # Params (M)=6.44, GFlops=98.02021.05 | 96.2 | — | — | |
| MS-AAGCN2023.01 | 96.2 | — | — | |
| MS-G3DPublication=CVPR 20202025.11 | 96.2 | — | — | |
| MS-G3DParam. (M)=3.19, FLOPs (G)=48.88, Power (mJ)=239.512025.12 | 96.2 | — | — | |
| DGNNNets=GCN2020.03 | 96.1 | — | — | |
| DGNNYear=2019, Architecture=GCN2020.03 | 96.1 | — | — | |
| DGNN2020.03 | 96.1 | — | — | |
| DGNNParameter number (million)=26.242020.10 | 96.1 | — | — | |
| DGNNYear=2019, # Ens=4, # Params (M)=8.06, GFlops=71.12021.05 | 96.1 | — | — | |
| Efficient-Self-AttentionYear=2022, # Ens=42021.05 | 96.1 | — | — | |
| AGE-EnsInput=S(J+B)&V(J+B), # Ens=22021.05 | 96.1 | — | — | |
| JB-AAGCNNets=GCN2020.03 | 96 | — | — | |
| JB-AAGCNYear=2019, Architecture=GCN2020.03 | 96 | — | — | |
| PA-ResGCN-B19Inference speed (sequences/(second*GPU))=38.3, Parameter number (million)=3.642020.10 | 96 | — | — | |
| BSL-EnsInput=S(J)&S(B)&S(J+B)&V(J+B), # Ens=42021.05 | 95.9 | — | — | |
| Ours(Joint+Bone)2019.11 | 95.7 | — | — | |
| GCN-NAS(Joint&Bone)Nets=GCN2020.03 | 95.7 | — | — | |
| GCN-NAS(Joint&Bone)Year=2019, Architecture=GCN2020.03 | 95.7 | — | — | |
| NAS-GCNParameter number (million)=6.572020.10 | 95.7 | — | — | |
| BSL-EnsInput=S(J+B)&V(J+B), # Ens=22021.05 | 95.7 | — | — | |
| BSL-EnsInput=S(B)&S(J+B)&V(J+B), # Ens=32021.05 | 95.7 | — | — | |
| PA-ResGCN-N51Inference speed (sequences/(second*GPU))=54.8, Parameter number (million)=1.142020.10 | 95.6 | — | — | |
| AGE-EnsInput=S(J)&V(J), # Ens=22021.05 | 95.5 | — | — | |
| AGE-EnsInput=S(B)&V(B), # Ens=22021.05 | 95.5 | — | — | |
| 2s-AGCNNets=GCN, Evaluation Protocol=self-evaluated2020.03 | 95.3 | — | — | |
| 2s-AGCNYear=2019, Architecture=GCN, Implementation=Trained by authors2020.03 | 95.3 | 99.4 | — | |
| AdaSGNYear=2021, # Ens=42021.05 | 95.3 | — | — | |
| AGE-SInput=Joint+Bone, # Ens=12021.05 | 95.2 | — | — | |
| 2S-AGCNConference=CVPR20192019.11 | 95.1 | — | — | |
| 2s-AGCN2020.03 | 95.1 | — | — | |
| 2s-AGCNInference speed (sequences/(second*GPU))=22.3, Parameter number (million)=6.942020.10 | 95.1 | — | — | |
| 2s-AGCNYear=2019, # Ens=4, # Params (M)=6.72, GFlops=37.22021.05 | 95.1 | — | — | |
| Ta-CNNYear=2022, # Ens=22021.05 | 95.1 | — | — | |
| BSL-SInput=Joint+Bone, # Ens=12021.05 | 95.1 | — | — | |
| 2s-AGCNPublication=CVPR 20192025.11 | 95.1 | — | — | |
| 2S-AGCNParam. (M)=3.48, FLOPs (G)=37.32, Power (mJ)=182.872025.12 | 95.1 | — | — | |
| AGC-LSTMNets=GCN+LSTM2020.03 | 95 | — | — | |
| AGC-LSTM(Joint&Part)Year=2019, Architecture=GCN+LSTM2020.03 | 95 | — | — | |
| AGC-LSTM2020.03 | 95 | — | — | |
| VA-fusionParameter number (million)=24.602020.10 | 95 | — | — | |
| AGC-LSTMParameter number (million)=22.892020.10 | 95 | — | — | |
| PL-GCNParameter number (million)=20.702020.10 | 95 | — | — | |
| AGC-LSTMYear=2019, # Ens=22021.05 | 95 | — | — | |
| 2s AGC-LSTM2023.01 | 95 | — | — | |
| ResGCN-B19 (Basic)Inference speed (sequences/(second*GPU))=44.0, Parameter number (million)=3.262020.10 | 94.8 | — | — | |
| AGE-SInput=Bone, # Ens=12021.05 | 94.8 | — | — | |
| AGE-VInput=Bone, # Ens=12021.05 | 94.8 | — | — | |
| BSL-EnsInput=S(J)&V(J), # Ens=22021.05 | 94.7 | — | — | |
| BSL-EnsInput=S(B)&V(B), # Ens=22021.05 | 94.7 | — | — | |
| SGNYear=2020, # Ens=1, # Params (M)=0.69, GFlops=15.42021.05 | 94.5 | — | — | |
| AGE-SInput=Joint, # Ens=12021.05 | 94.5 | — | — | |
| AGE-VInput=Joint, # Ens=12021.05 | 94.5 | — | — | |
| Signal-SGN++ (4 ensemble)Param. (M)=1.72, FLOPs (G)=6.44, SOPs (G)=1.252, Power (mJ)=1.4762025.12 | 94.5 | — | — | |
| GR-GCNConference=ACMM20192019.11 | 94.3 | — | — | |
| GR-GCN2020.10 | 94.3 | — | — | |
| AS-GCNConference=CVPR20192019.11 | 94.2 | — | — | |
| AS-GCNNets=GCN2020.03 | 94.2 | — | — | |
| AS-GCNYear=2019, Architecture=GCN2020.03 | 94.2 | — | — | |
| AS-GCN2020.03 | 94.2 | — | — | |
| AS-GCNParameter number (million)=6.992020.10 | 94.2 | — | — | |
| AS-GCNYear=2019, # Ens=1, # Params (M)=7.17, GFlops=35.52021.05 | 94.2 | — | — | |
| AS-GCN2023.01 | 94.2 | — | — | |
| Bs-AGCNNets=GCN, Evaluation Protocol=self-evaluated2020.03 | 94.1 | — | — | |
| Bs-AGCNYear=2019, Architecture=GCN, Implementation=Trained by authors2020.03 | 94.1 | 99.23 | — | |
| AGE-VInput=Joint+Bone, # Ens=12021.05 | 94 | — | — | |
| dense-IndRNN-augAugmentation=true2019.10 | 93.97 | — | — | |
| BSL-SInput=Joint, # Ens=12021.05 | 93.7 | — | — | |
| 3SCNN2023.01 | 93.7 | — | — |