Action Recognition on PKU-MMD (Part II)
76.8Accuracy3s-ASMa
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| 3s-ASMaBackbone=ST-GCN, Params=6.3, FLOPs=4.5, Evaluation Protocol=FT.2026.02 | 76.8 | — | — | — | — | |
| 3s-ASMa-DistillBackbone=ST-GCN, Params=0.54, FLOPs=1.26, Evaluation Protocol=FT.2026.02 | 75.8 | — | — | — | — | |
| 3s-PSTLBackbone=ST-GCN, Params=2.85, FLOPs=3.45, Evaluation Protocol=FT.2026.02 | 69.1 | — | — | — | — | |
| 3s-ASMaBackbone=ST-GCN, Params=6.3, FLOPs=4.5, Evaluation Protocol=Lin.2026.02 | 68.9 | — | — | — | — | |
| 3s-TranCLRPre-training Dataset=NTU-602026.04 | 65.6 | — | — | — | — | |
| 3s-TranCLRPre-training Dataset=NTU-1202026.04 | 64.9 | — | — | — | — | |
| Heter-SkeletonPre-training Dataset=NTU-602026.04 | 64.3 | — | — | — | — | |
| Heter-SkeletonPre-training Dataset=NTU-1202026.04 | 63.1 | — | — | — | — | |
| ActCLRBackbone=GCN, Evaluation Protocol=Lin.2026.02 | 62.1 | — | — | — | — | |
| 3s-ActCLR+Pre-training Dataset=NTU-602026.04 | 62.1 | — | — | — | — | |
| 3s-S2IEvaluation Protocol=Linear Evaluation, Stream Ensemble=3-stream2026.03 | 62 | — | — | — | — | |
| SkeletonMAEPre-training Dataset=NTU-1202026.04 | 61 | — | — | — | — | |
| UmURLPre-training Dataset=NTU-602026.04 | 59.7 | — | — | — | — | |
| 3s-ActCLRPre-training Dataset=NTU-1202026.04 | 59.6 | — | — | — | — | |
| UmURLPre-training Dataset=NTU-1202026.04 | 58.5 | — | — | — | — | |
| SkeletonMAEPre-training Dataset=NTU-602026.04 | 58.4 | — | — | — | — | |
| USDRLPre-training Dataset=NTU-1202026.04 | 58.3 | — | — | — | — | |
| S2IEvaluation Protocol=Linear Evaluation, Stream Ensemble=single-stream2026.03 | 57.4 | — | — | — | — | |
| USDRLPre-training Dataset=NTU-602026.04 | 57.2 | — | — | — | — | |
| CMDPre-training Dataset=NTU-1202026.04 | 57 | — | — | — | — | |
| HiCoPre-training Dataset=NTU-602026.04 | 56.3 | — | — | — | — | |
| CMDPre-training Dataset=NTU-602026.04 | 56 | — | — | — | — | |
| 3s-ActCLRPre-training Dataset=NTU-602026.04 | 55.9 | — | — | — | — | |
| HiCoPre-training Dataset=NTU-1202026.04 | 55.4 | — | — | — | — | |
| STJD-CLBackbone=GCN, Evaluation Protocol=Lin.2026.02 | 55.3 | — | — | — | — | |
| SCD-NetBackbone=GCN+Transformer, Evaluation Protocol=Lin.2026.02 | 54 | — | — | — | — | |
| MAMPInput stream=Joint only, Evaluation protocol=Linear2023.08 | 53.8 | — | — | — | — | |
| MAMPEvaluation Protocol=Linear Evaluation, Stream Ensemble=single-stream2026.03 | 53.8 | — | — | — | — | |
| 3s-AimCLRPre-training Dataset=NTU-1202026.04 | 52.7 | — | — | — | — | |
| 3s-PSTLBackbone=ST-GCN, Params=2.85, FLOPs=3.45, Evaluation Protocol=Lin.2026.02 | 52.3 | — | — | — | — | |
| 3s-AimCLRPre-training Dataset=NTU-602026.04 | 51.6 | — | — | — | — | |
| 3s-CPMEvaluation Protocol=Linear Evaluation, Stream Ensemble=3-stream2026.03 | 51.5 | — | — | — | — | |
| VA-LSTMSupervision=Supervised, Evaluation protocol=Linear evaluation2021.12 | 50 | — | — | — | — | |
| CPMInput stream=Joint only, Evaluation protocol=Linear2023.08 | 48.3 | — | — | — | — | |
| ST-GCNSupervision=Supervised, Evaluation protocol=Linear evaluation2021.12 | 48.2 | — | — | — | — | |
| M3GCLRBackbone=ST-GCN, Protocol=Linear Evaluation2026.03 | 45.2 | — | — | — | — | |
| 3s-SkeletonBTBackbone=ST-GCN, Evaluation Protocol=Lin.2026.02 | 44.1 | — | — | — | — | |
| CMDInput stream=Joint only, Evaluation protocol=Linear2023.08 | 43 | — | — | — | — | |
| CMDEvaluation Protocol=Linear Evaluation, Stream Ensemble=single-stream2026.03 | 43 | — | — | — | — | |
| AimCLR++Backbone=ST-GCN, Protocol=Linear Evaluation2026.03 | 41.2 | — | — | — | — | |
| ISSMBackbone=bi-GRU, Protocol=Linear Evaluation2026.03 | 40.3 | — | — | — | — | |
| CMCSBackbone=ST-GCN, Protocol=Linear Evaluation2026.03 | 39.6 | — | — | — | — | |
| 3s-AimCLRSupervision=Self-supervised, Evaluation protocol=Linear evaluation, Number of streams=3, Cross-stream knowledge mining=false2021.12 | 39.5 | — | — | — | — | |
| 3s-AimCLRInput stream=Joint+Motion+Bone, Evaluation protocol=Linear2023.08 | 39.5 | — | — | — | — | |
| 3s-AimCLREvaluation Protocol=Linear Evaluation, Stream Ensemble=3-stream2026.03 | 39.5 | — | — | — | — | |
| Variational Contrastive LearningProtocol=Linear evaluation2026.01 | 39.2 | — | — | — | — | |
| ASARBackbone=ST-GCN, Protocol=Linear Evaluation2026.03 | 38.8 | — | — | — | — | |
| 3s-AimCLRSupervision=Self-supervised, Evaluation protocol=Linear evaluation, Number of streams=3, Cross-stream knowledge mining=true2021.12 | 38.5 | — | — | — | — | |
| 3s-AimCLRBackbone=ST-GCN, Params=2.85, FLOPs=3.45, Evaluation Protocol=Lin.2026.02 | 38.5 | — | — | — | — | |
| AimCLRBackbone=ST-GCN, Protocol=Linear Evaluation2026.03 | 38.5 | — | — | — | — | |
| SkeletonMAE*Input stream=Joint only, Evaluation protocol=Linear2023.08 | 36.1 | — | — | — | — | |
| SkeletonMAEEvaluation Protocol=Linear Evaluation, Stream Ensemble=single-stream2026.03 | 36.1 | — | — | — | — | |
| ISCSupervision=Self-supervised, Evaluation protocol=Linear evaluation2021.12 | 36 | — | — | — | — | |
| ISCInput stream=Joint only, Evaluation protocol=Linear2023.08 | 36 | — | — | — | — | |
| ISCProtocol=Linear evaluation2026.01 | 36 | — | — | — | — | |
| ISCEvaluation Protocol=Linear Evaluation, Stream Ensemble=single-stream2026.03 | 36 | — | — | — | — | |
| 3s-AimCLRLabeled data percentage=10%, Evaluation protocol=Semi-supervised2021.12 | 33.4 | — | — | — | — | |
| 3s-CrosSCLRLabeled data percentage=10%, Evaluation protocol=Semi-supervised2021.12 | 28.6 | — | — | — | — | |
| 3s-CrosSCLRLabel percentage=10%2026.01 | 28.6 | — | — | — | — | |
| MS2LSupervision=Self-supervised, Evaluation protocol=Linear evaluation2021.12 | 27.6 | — | — | — | — | |
| MS2LInput stream=Joint only, Evaluation protocol=Linear2023.08 | 27.6 | — | — | — | — | |
| MS2LProtocol=Linear evaluation2026.01 | 27.6 | — | — | — | — | |
| MS2LEvaluation Protocol=Linear Evaluation, Stream Ensemble=single-stream2026.03 | 27.6 | — | — | — | — | |
| Variational Contrastive LearningLabel percentage=10%2026.01 | 26.6 | — | — | — | — | |
| MS2LLabeled data percentage=10%, Evaluation protocol=Semi-supervised2021.12 | 26.1 | — | — | — | — | |
| MS2LLabel percentage=10%2026.01 | 26.1 | — | — | — | — | |
| LongT GANSupervision=Self-supervised, Evaluation protocol=Linear evaluation2021.12 | 26 | — | — | — | — | |
| LongT GANInput stream=Joint only, Evaluation protocol=Linear2023.08 | 26 | — | — | — | — | |
| LongT GANProtocol=Linear evaluation2026.01 | 26 | — | — | — | — | |
| LongT GANEvaluation Protocol=Linear Evaluation, Stream Ensemble=single-stream2026.03 | 26 | — | — | — | — | |
| LongT GANLabeled data percentage=10%, Evaluation protocol=Semi-supervised2021.12 | 25.7 | — | — | — | — | |
| LongT GANLabel percentage=10%2026.01 | 25.7 | — | — | — | — | |
| P&CInput stream=Joint only, Evaluation protocol=Linear2023.08 | 25.5 | — | — | — | — | |
| P&CEvaluation Protocol=Linear Evaluation, Stream Ensemble=single-stream2026.03 | 25.5 | — | — | — | — | |
| 3s-CrosSCLRSupervision=Self-supervised, Evaluation protocol=Linear evaluation, Number of streams=3, Cross-stream knowledge mining=false2021.12 | 21.2 | — | — | — | — | |
| 3s-CrosSCLRInput stream=Joint+Motion+Bone, Evaluation protocol=Linear2023.08 | 21.2 | — | — | — | — | |
| 3s-CrosSCLRBackbone=ST-GCN, Params=26.6, FLOPs=17.28, Evaluation Protocol=Lin.2026.02 | 21.2 | — | — | — | — | |
| 3s-CrosSCLRProtocol=Linear evaluation2026.01 | 21.2 | — | — | — | — | |
| 3s-CrosSCLREvaluation Protocol=Linear Evaluation, Stream Ensemble=3-stream2026.03 | 21.2 | — | — | — | — | |
| CorsSCLRBackbone=ST-GCN, Protocol=Linear Evaluation2026.03 | 21.2 | — | — | — | — | |
| 3s-SkeletonCLRLabel percentage=10%2026.01 | 16.9 | — | — | — | — | |
| 3s-AimCLRLabeled data percentage=1%, Evaluation protocol=Semi-supervised2021.12 | 15.1 | — | — | — | — | |
| MS2LLabeled data percentage=1%, Evaluation protocol=Semi-supervised2021.12 | 13 | — | — | — | — | |
| MS2LLabel percentage=1%2026.01 | 13 | — | — | — | — | |
| LongT GANLabeled data percentage=1%, Evaluation protocol=Semi-supervised2021.12 | 12.4 | — | — | — | — | |
| LongT GANLabel percentage=1%2026.01 | 12.4 | — | — | — | — | |
| 3s-CrosSCLRLabeled data percentage=1%, Evaluation protocol=Semi-supervised2021.12 | 10.2 | — | — | — | — | |
| 3s-CrosSCLRLabel percentage=1%2026.01 | 10.2 | — | — | — | — | |
| Variational Contrastive LearningLabel percentage=1%2026.01 | 7.6 | — | — | — | — | |
| 3s-SkeletonCLRLabel percentage=1%2026.01 | 5 | — | — | — | — | |
| CMDEvaluation Protocol=Transfer Learning2023.08 | — | — | 56 | 57 | — | |
| CMDTesting Dataset=PKU-MMD II, Testing Split=X-Sub2026.03 | — | — | 56 | 57 | — | |
| HYSPPre-trained on=PKU-MMD I, Protocol=Transfer Learning (Jointly fine-tuned)2023.03 | — | 50.7 | — | — | — | |
| HYSPPre-trained on=NTU-60, Protocol=Transfer Learning (Jointly fine-tuned)2023.03 | — | 46.3 | — | — | — | |
| IGMTesting Dataset=PKU-MMD II, Testing Split=X-Sub2026.03 | — | — | 59.8 | — | — | |
| ISCPre-trained on=PKU-MMD I, Protocol=Transfer Learning (Jointly fine-tuned)2023.03 | — | 45.1 | — | — | — | |
| ISCPre-trained on=NTU-60, Protocol=Transfer Learning (Jointly fine-tuned)2023.03 | — | 45.9 | — | — | — | |
| ISCEvaluation Protocol=Transfer Learning2023.08 | — | — | 51.1 | 52.3 | 45.1 | |
| ISCTesting Dataset=PKU-MMD II, Testing Split=X-Sub2026.03 | — | — | 51.1 | 52.3 | — | |
| LongT GANEvaluation Protocol=Transfer Learning2023.08 | — | — | 44.8 | — | 43.6 |