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What is Ske2Grid Skeleton To GridRepresentationLearningforActionRecognition about?
The paper introduces Ske2Grid, a novel representation learning framework for skeleton-based action recognition that utilizes a grid representation of human skeletons to enhance feature modeling. It employs a graph-node index transform (GIT) and an up-sampling transform (UPT) to create a compact grid patch while maintaining topological relationships, allowing for effective regular convolution operations. Experimental results demonstrate that Ske2Grid significantly outperforms existing GCN-based methods acros
- Author
- 03Nguyễn Du
- Language
- EN