| Hulk(Finetune, ViT-L) |
- Accuracy (CS)
- 94.3
|
Hulk: A Universal Knowledge Translator for Human-Centric Tasks 2023-12-04 |
코드 1 · 코드 2 |
| PoseC3D [3D Heatmap] |
- Accuracy (CV)
- 97.1
- Accuracy (CS)
- 94.1
- Ensembled Modalities
- 2
|
Revisiting Skeleton-based Action Recognition 2021-04-28 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| Hulk(Finetune, ViT-B) |
- Accuracy (CS)
- 94
|
Hulk: A Universal Knowledge Translator for Human-Centric Tasks 2023-12-04 |
코드 1 · 코드 2 |
| MaskCLR |
- Accuracy (CV)
- 97.3
- Accuracy (CS)
- 93.9
|
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning 2024-01-01 |
연결 없음 |
| ProtoGCN |
- Accuracy (CV)
- 97.8
- Accuracy (CS)
- 93.8
- Ensembled Modalities
- 6
|
Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition 2024-11-28 |
코드 1 |
| JMDA (based on Skeleton MixFormer) |
- Accuracy (CV)
- 97.2
- Accuracy (CS)
- 93.7
|
Joint Mixing Data Augmentation for Skeleton-based Action Recognition 2024-10-13 |
코드 1 |
| Shap-Mix |
- Accuracy (CV)
- 97.1
- Accuracy (CS)
- 93.7
- Ensembled Modalities
- 4
|
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition 2024-07-17 |
코드 1 |
| MSA-GCN |
- Accuracy (CV)
- 97.4
- Accuracy (CS)
- 93.6
- Ensembled Modalities
- 6
|
MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition 2024-12-19 |
연결 없음 |
| DeGCN |
- Accuracy (CV)
- 97.4
- Accuracy (CS)
- 93.6
|
DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition 2024-03-25 |
코드 1 |
| FreqMixFormer |
- Accuracy (CS)
- 93.6
|
Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed Transformer 2024-07-17 |
코드 1 |
| SkateFormer |
- Accuracy (CV)
- 97.8
- Accuracy (CS)
- 93.5
- Ensembled Modalities
- 4
|
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition 2024-03-14 |
코드 1 |
| MMCL |
- Accuracy (CV)
- 97.4
- Accuracy (CS)
- 93.5
- Ensembled Modalities
- 6
|
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition 2024-07-22 |
코드 1 |
| LA-GCN |
- Accuracy (CV)
- 97.2
- Accuracy (CS)
- 93.5
- Ensembled Modalities
- 6
|
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition 2023-05-21 |
코드 1 |
| HD-GCN |
- Accuracy (CV)
- 97.2
- Accuracy (CS)
- 93.4
- Ensembled Modalities
- 6
|
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition 2022-08-23 |
코드 1 |
| DG-STGCN |
- Accuracy (CV)
- 97.5
- Accuracy (CS)
- 93.2
- Ensembled Modalities
- 4
|
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition 2022-10-12 |
코드 1 · 코드 2 · 코드 3 |
| STEP-CATFormer |
- Accuracy (CV)
- 97.3
- Accuracy (CS)
- 93.2
- Ensembled Modalities
- 4
|
STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition 2023-12-06 |
코드 1 |
| JPFormer |
- Accuracy (CV)
- 96.9
- Accuracy (CS)
- 93.2
- Ensembled Modalities
- 4
|
Joint-Partition Group Attention for skeleton-based action recognition 2024-07-30 |
코드 1 |
| MAMP |
- Accuracy (CV)
- 97.5
- Accuracy (CS)
- 93.1
|
Masked Motion Predictors are Strong 3D Action Representation Learners 2023-08-14 |
코드 1 |
| SkeletonGCL (based on CTR-GCN) |
- Accuracy (CV)
- 97.0
- Accuracy (CS)
- 93.1
- Ensembled Modalities
- 4
|
Graph Contrastive Learning for Skeleton-based Action Recognition 2023-01-26 |
코드 1 |
| BlockGCN |
- Accuracy (CV)
- 97.0
- Accuracy (CS)
- 93.1
|
BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition 2024-01-01 |
코드 1 |
| MotionBert (finetune) |
- Accuracy (CV)
- 97.2
- Accuracy (CS)
- 93.0
|
MotionBERT: A Unified Perspective on Learning Human Motion Representations 2022-10-12 |
코드 1 |
| InfoGCN |
- Accuracy (CV)
- 97.1
- Accuracy (CS)
- 93.0
- Ensembled Modalities
- 6
|
InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition 2022-01-01 |
코드 1 |
| LST |
- Accuracy (CV)
- 97
- Accuracy (CS)
- 92.9
- Ensembled Modalities
- 4
|
Generative Action Description Prompts for Skeleton-based Action Recognition 2022-08-10 |
코드 1 · 코드 2 · 코드 3 |
| Stream-GCN |
- Accuracy (CV)
- 96.9
- Accuracy (CS)
- 92.9
|
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization 2023-06-13 |
연결 없음 |
| PSUMNet |
- Accuracy (CV)
- 96.7
- Accuracy (CS)
- 92.9
|
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition 2022-08-11 |
코드 1 |
| Hyperformer |
- Accuracy (CV)
- 96.5
- Accuracy (CS)
- 92.9
- Ensembled Modalities
- 4
|
Hypergraph Transformer for Skeleton-based Action Recognition 2022-11-17 |
코드 1 |
| STGAT |
- Accuracy (CV)
- 97.3
- Accuracy (CS)
- 92.8
- Ensembled Modalities
- 4
|
Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition 2022-08-18 |
코드 1 |
| TCA-GCN |
- Accuracy (CV)
- 97.0
- Accuracy (CS)
- 92.8
- Ensembled Modalities
- 4
|
Skeleton-based Action Recognition via Temporal-Channel Aggregation 2022-05-31 |
코드 1 |
| TD-GCN |
- Accuracy (CV)
- 96.8
- Accuracy (CS)
- 92.8
- Ensembled Modalities
- 4
|
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition 2023-05-01 |
코드 1 |
| DSTSA-GCN |
- Accuracy (CV)
- 97.03
- Accuracy (CS)
- 92.78
- Ensembled Modalities
- 4
|
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling 2025-01-21 |
코드 1 |