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Skeleton Based Action Recognition On Ntu Rgbd

Métriques

Accuracy (CS)
Accuracy (CV)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
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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Skeleton Based Action Recognition On Ntu Rgbd | SOTA | HyperAI