| DSCNet (RGB + Pose) |
- Accuracy
- 99.1
|
A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities 2023-12-28 |
코드 1 |
| SkateFormer |
- Accuracy
- 98.3
|
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition 2024-03-14 |
코드 1 |
| LA-GCN |
- Accuracy
- 97.6
|
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition 2023-05-21 |
코드 1 |
| MMCL |
- Accuracy
- 97.5
|
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition 2024-07-22 |
코드 1 |
| TD-GCN |
- Accuracy
- 97.4
|
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition 2023-05-01 |
코드 1 |
| Action Capsules |
- Accuracy
- 97.3
|
Action Capsules: Human Skeleton Action Recognition 2023-01-30 |
연결 없음 |
| LST |
- Accuracy
- 97.2
|
Generative Action Description Prompts for Skeleton-based Action Recognition 2022-08-10 |
코드 1 · 코드 2 · 코드 3 |
| HD-GCN |
- Accuracy
- 97.2
|
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition 2022-08-23 |
코드 1 |
| InfoGCN |
- Accuracy
- 97.0
|
InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition 2022-01-01 |
코드 1 |
| TCA-GCN |
- Accuracy
- 97.0
|
Skeleton-based Action Recognition via Temporal-Channel Aggregation 2022-05-31 |
코드 1 |
| DSTSA-GCN |
- Accuracy
- 96.98
|
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling 2025-01-21 |
코드 1 |
| JPFormer |
- Accuracy
- 96.7
|
Joint-Partition Group Attention for skeleton-based action recognition 2024-07-30 |
코드 1 |
| CTR-GCN |
- Accuracy
- 96.5
|
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition 2021-07-26 |
코드 1 · 코드 2 |
| RE-TCN |
- Accuracy
- 96.34%
- Data Modality (Joint, Bone, Motion)
- Joint
|
Action Recognition in Real-World Ambient Assisted Living Environment 2025-03-29 |
코드 1 |
| TD-GDSCN |
- Accuracy
- 95.69
- Data Modality (Joint, Bone, Motion)
- Joint
|
Action Recognition for Privacy-Preserving Ambient Assisted Living 2024-08-15 |
코드 1 |
| MSSTNet |
- Accuracy
- 95.3
|
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognition 2023-05-12 |
코드 1 |
| Hierarchical Action Classification (RGB + Pose) |
- Accuracy
- 93.99
|
Hierarchical Action Classification with Network Pruning 2020-07-30 |
연결 없음 |
| MMNet (RGB + Pose) |
- Accuracy
- 93.7
|
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos 2022-05-26 |
코드 1 |
| VPN (RGB + Pose) |
- Accuracy
- 93.5
|
VPN: Learning Video-Pose Embedding for Activities of Daily Living 2020-07-06 |
코드 1 |
| VPN++ (RGB + Pose) |
- Accuracy
- 93.5
|
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living 2021-05-17 |
코드 1 |
| SGN |
- Accuracy
- 92.5%
|
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition 2019-04-02 |
코드 1 · 코드 2 |
| Action Machine |
- Accuracy
- 92.3%
|
Action Machine: Rethinking Action Recognition in Trimmed Videos 2018-12-14 |
연결 없음 |
| EleAtt-GRU (aug.) |
- Accuracy
- 90.7%
|
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks 2019-09-03 |
연결 없음 |
| VA-fusion (aug.) |
- Accuracy
- 88.1%
|
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition 2018-04-20 |
코드 1 · 코드 2 |
| Glimpse Clouds |
- Accuracy
- 87.6%
|
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points 2018-02-22 |
코드 1 |