| MSSTNet |
- Accuracy (CV)
- 97.8
- Accuracy (CS)
- 92.6
|
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognition 2023-05-12 |
코드 1 |
| ST-GCN++ [PYSKL, 3D Skeleton] |
- Accuracy (CV)
- 97.4
- Accuracy (CS)
- 92.6
- Ensembled Modalities
- 4
|
PYSKL: Towards Good Practices for Skeleton Action Recognition 2022-05-19 |
코드 1 |
| CTR-GCN |
- Accuracy (CV)
- 96.8
- Accuracy (CS)
- 92.4
- Ensembled Modalities
- 4
|
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition 2021-07-26 |
코드 1 · 코드 2 |
| EfficientGCN-B4 |
- Accuracy (CV)
- 96.1
- Accuracy (CS)
- 92.1
|
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition 2021-06-29 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| DualHead-Net |
- Accuracy (CV)
- 96.6
- Accuracy (CS)
- 92.0
|
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition 2021-08-10 |
코드 1 |
| AngNet-JA + BA + JBA + VJBA |
- Accuracy (CV)
- 96.4
- Accuracy (CS)
- 91.7
|
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition 2021-05-04 |
코드 1 |
| Skeletal GNN |
- Accuracy (CV)
- 96.7
- Accuracy (CS)
- 91.6
- Ensembled Modalities
- 4
|
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation 2021-08-16 |
연결 없음 |
| SCK⊕ |
- Accuracy (CV)
- 94.75
- Accuracy (CS)
- 91.56
|
Tensor Representations for Action Recognition 2020-12-28 |
코드 1 |
| DSTA-Net |
- Accuracy (CV)
- 96.4
- Accuracy (CS)
- 91.5
|
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition 2020-07-07 |
코드 1 |
| MS-G3D Net |
- Accuracy (CV)
- 96.2
- Accuracy (CS)
- 91.5
|
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition 2020-03-31 |
코드 1 · 코드 2 · 코드 3 |
| Dynamic GCN |
- Accuracy (CV)
- 96.0
- Accuracy (CS)
- 91.5
|
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition 2020-07-29 |
코드 1 |
| ST-GCN [PYSKL, 2D Skeleton] |
- Accuracy (CV)
- 98.3
- Accuracy (CS)
- 91.4
- Ensembled Modalities
- 4
|
PYSKL: Towards Good Practices for Skeleton Action Recognition 2022-05-19 |
코드 1 |
| MS-AAGCN+TEM |
- Accuracy (CV)
- 96.5
- Accuracy (CS)
- 91.0
|
Temporal Extension Module for Skeleton-Based Action Recognition 2020-03-19 |
연결 없음 |
| PA-ResGCN-B19 |
- Accuracy (CV)
- 96
- Accuracy (CS)
- 90.9
|
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition 2020-10-20 |
코드 1 |
| EfficientGCN-B2 |
- Accuracy (CV)
- 95.5
- Accuracy (CS)
- 90.9
|
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition 2021-06-29 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| 4s Shift-GCN |
- Accuracy (CV)
- 96.5
- Accuracy (CS)
- 90.7
- Ensembled Modalities
- 4
|
Skeleton-Based Action Recognition With Shift Graph Convolutional Network 2020-06-01 |
코드 1 |
| ST-GCN [PYSKL, 3D Skeleton] |
- Accuracy (CV)
- 96.5
- Accuracy (CS)
- 90.7
|
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition 2018-01-23 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 · 코드 18 · 코드 19 · 코드 20 · 코드 21 · 코드 22 · 코드 23 · 코드 24 |
| CGCN |
- Accuracy (CV)
- 96.4
- Accuracy (CS)
- 90.3
|
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition 2020-03-06 |
연결 없음 |
| BAGCN |
- Accuracy (CV)
- 96.3
- Accuracy (CS)
- 90.3
|
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition 2019-12-24 |
연결 없음 |
| FGCN-spatial+FGCN-motion |
- Accuracy (CV)
- 96.3
- Accuracy (CS)
- 90.2
|
Feedback Graph Convolutional Network for Skeleton-based Action Recognition 2020-03-17 |
연결 없음 |
| Sym-GNN |
- Accuracy (CV)
- 96.4
- Accuracy (CS)
- 90.1
|
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction 2019-10-05 |
연결 없음 |
| ST-GCN [Vanilla, 2D Skeleton] |
- Accuracy (CV)
- 95.1
- Accuracy (CS)
- 90.1
|
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition 2018-01-23 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 · 코드 18 · 코드 19 · 코드 20 · 코드 21 · 코드 22 · 코드 23 · 코드 24 |
| Action Capsules |
- Accuracy (CV)
- 96.3
- Accuracy (CS)
- 90
|
Action Capsules: Human Skeleton Action Recognition 2023-01-30 |
연결 없음 |
| MS-AAGCN |
- Accuracy (CV)
- 96.2
- Accuracy (CS)
- 90.0
|
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks 2019-12-15 |
코드 1 · 코드 2 |
| DGNN |
- Accuracy (CV)
- 96.1
- Accuracy (CS)
- 89.9
|
Skeleton-Based Action Recognition With Directed Graph Neural Networks 2019-06-01 |
코드 1 |
| ST-TR-agcn |
- Accuracy (CV)
- 96.1
- Accuracy (CS)
- 89.9
|
Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks 2020-08-17 |
코드 1 |
| EfficientGCN-B0 |
- Accuracy (CV)
- 94.7
- Accuracy (CS)
- 89.9
|
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition 2021-06-29 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| Mix-Dimension |
- Accuracy (CV)
- 96
- Accuracy (CS)
- 89.7
|
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition 2020-07-30 |
연결 없음 |
| 2s-SDGCN |
- Accuracy (CV)
- 95.74
- Accuracy (CS)
- 89.58
|
Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition 2019-10-27 |
연결 없음 |
| TD-GDSCN |
- Accuracy (CV)
- 94.90
- Accuracy (CS)
- 89.57
- Ensembled Modalities
- Only joint data
|
Action Recognition for Privacy-Preserving Ambient Assisted Living 2024-08-15 |
코드 1 |