HyperAI超神经

Skeleton Based Action Recognition On Ntu Rgbd

评估指标

Accuracy (CS)
Accuracy (CV)

评测结果

各个模型在此基准测试上的表现结果

模型名称
Accuracy (CS)
Accuracy (CV)
Paper TitleRepository
ST-GCN [PYSKL, 3D Skeleton]90.796.5Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
H-RNN59.164.0Hierarchical recurrent neural network for skeleton based action recognition-
Action Capsules9096.3Action Capsules: Human Skeleton Action Recognition-
3s-ActCLR84.388.8Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition-
MS-AAGCN+TEM91.096.5Temporal Extension Module for Skeleton-Based Action Recognition-
IndRNN (with jpd)8389A Comparative Review of Recent Kinect-based Action Recognition Algorithms
EleAtt-GRU (aug.)80.788.4EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks-
Ind-RNN81.888.0Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
CoAGCN* (2-stream)86.093.1Continual Spatio-Temporal Graph Convolutional Networks
CoST-GCN* (2-stream)88.395Continual Spatio-Temporal Graph Convolutional Networks
DualHead-Net92.096.6Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
Clips+CNN+MTLN79.684.8A New Representation of Skeleton Sequences for 3D Action Recognition-
Hyperformer92.996.5Hypergraph Transformer for Skeleton-based Action Recognition
FO-GASTM82.8390.05Learning Shape-Motion Representations from Geometric Algebra Spatio-Temporal Model for Skeleton-Based Action Recognition-
2s-NLGCN88.595.1Non-Local Graph Convolutional Networks for Skeleton-Based Action Recognition
CTR-GCN92.496.8Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Spatio-Temporal LSTM69.277.7Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition-
CNN+Motion+Trans83.289.3Skeleton-based Action Recognition with Convolutional Neural Networks
3s-HYSP89.195.2HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations
CoS-TR*86.392.4Continual Spatio-Temporal Graph Convolutional Networks
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