Skeleton Based Action Recognition On Uav
评估指标
CSv1(%)
CSv2(%)
评测结果
各个模型在此基准测试上的表现结果
模型名称 | CSv1(%) | CSv2(%) | Paper Title | Repository |
|---|---|---|---|---|
| ST-GCN | 30.25 | 56.14 | Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition | |
| DGNN | 29.90 | - | Skeleton-Based Action Recognition With Directed Graph Neural Networks | - |
| Shift-GCN | 37.98 | 67.04 | Skeleton-Based Action Recognition With Shift Graph Convolutional Network | |
| MSSTNet | 43.0 | 70.1 | Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognition | |
| HDBN | 47.96 | 75.36 | HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition | |
| HARD-Net | 36.97 | - | HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction | - |
| TD-GCN | 45.43 | 72.86 | Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition | - |
| DSCNet (RGB + Pose) | 47.3 | 71.1 | A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities | |
| 2S-AGCN | 34.84 | 66.68 | Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition |
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