Nanasaki-Ai / FR-AGCN
Forward-reverse Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
☆11Updated last year
Alternatives and similar repositories for FR-AGCN:
Users that are interested in FR-AGCN are comparing it to the libraries listed below
- The implementation for "Extremely Lightweight Skeleton-Based Action Recognition with ShiftGCN++." (TIP 2021).☆21Updated 2 years ago
- ☆20Updated 2 years ago
- ☆60Updated 4 years ago
- skeleton-based action recognition☆18Updated 3 years ago
- Skeleton-Based Action Recognition with Local Dynamic Spatial-Temporal Aggregation (Expert Systems with Applications 2023) (Previous name:…☆38Updated last year
- 3d skeleton visualization is used for NTU RGB+D dataset.☆17Updated 5 years ago
- This is the official implemntation for "Multi-scale spatial temporal graph convolutional network for skeleton-based action recognition" A…☆38Updated 2 years ago
- IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based ActionRecognition☆14Updated 3 years ago
- Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition☆57Updated 2 years ago
- This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."☆93Updated last year
- Code for "TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potent…☆32Updated last year
- [ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"☆294Updated 3 years ago
- ☆20Updated 3 years ago
- Code repository for the paper "Learning Discriminative Representations for Skeleton Based Action Recognition". CVPR 2023☆56Updated 2 years ago
- Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.☆42Updated 2 years ago
- The implementation for "Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition" (ECCV2020).☆104Updated 3 years ago
- The repository is the implementation of ICLR 2023 paper "Graph Contrastive Learning for Skeleton-based Action Recognition".☆54Updated last year
- [ICCV 2023] Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition☆144Updated last year
- A reimplementation of "Spatial-Temporal Graph Convolutional Networks for Action Recognition" (Yan et al., 2018) in PyTorch, developed for…☆11Updated 3 years ago
- Official implementation for "InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition"☆125Updated 2 years ago
- Official PyTorch implementation of "DeGCN : Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition"☆45Updated 9 months ago
- ☆48Updated last year
- ☆19Updated 3 years ago
- ST-GCN-5-25☆32Updated 5 years ago
- 改进的st-GCN代码☆24Updated 4 years ago
- [ACMMM 2024] Implementation of the paper “Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition“.☆38Updated last week
- Official implementation of MSR-GCN (ICCV2021 paper)☆67Updated last year
- Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition☆153Updated 6 years ago
- Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations, AAAI 2023☆29Updated 2 years ago
- [ACMMM 2023] Skeleton-MixFormer: Multivariate Topology Representation for Skeleton-based Action Recognition☆21Updated last year