Skeleton Based Action Recognition On Ntu Rgbd

Metrics

Accuracy (CS)

Accuracy (CV)

Results

Performance results of various models on this benchmark

Model Name	Accuracy (CS)	Accuracy (CV)	Paper Title	Repository
ST-GCN [PYSKL, 3D Skeleton]	90.7	96.5	Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
H-RNN	59.1	64.0	Hierarchical recurrent neural network for skeleton based action recognition	-
Action Capsules	90	96.3	Action Capsules: Human Skeleton Action Recognition	-
3s-ActCLR	84.3	88.8	Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition	-
MS-AAGCN+TEM	91.0	96.5	Temporal Extension Module for Skeleton-Based Action Recognition	-
IndRNN (with jpd)	83	89	A Comparative Review of Recent Kinect-based Action Recognition Algorithms
EleAtt-GRU (aug.)	80.7	88.4	EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks	-
Ind-RNN	81.8	88.0	Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
CoAGCN* (2-stream)	86.0	93.1	Continual Spatio-Temporal Graph Convolutional Networks
CoST-GCN* (2-stream)	88.3	95	Continual Spatio-Temporal Graph Convolutional Networks
DualHead-Net	92.0	96.6	Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
Clips+CNN+MTLN	79.6	84.8	A New Representation of Skeleton Sequences for 3D Action Recognition	-
Hyperformer	92.9	96.5	Hypergraph Transformer for Skeleton-based Action Recognition
FO-GASTM	82.83	90.05	Learning Shape-Motion Representations from Geometric Algebra Spatio-Temporal Model for Skeleton-Based Action Recognition	-
2s-NLGCN	88.5	95.1	Non-Local Graph Convolutional Networks for Skeleton-Based Action Recognition
CTR-GCN	92.4	96.8	Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Spatio-Temporal LSTM	69.2	77.7	Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition	-
CNN+Motion+Trans	83.2	89.3	Skeleton-based Action Recognition with Convolutional Neural Networks
3s-HYSP	89.1	95.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations
CoS-TR*	86.3	92.4	Continual Spatio-Temporal Graph Convolutional Networks

0 of 133 row(s) selected.