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Shallow Graph Convolutional Network for Skeleton-Based Action Recognition
Graph convolutional networks (GCNs) have brought considerable improvement to the skeleton-based action recognition task. Existing GCN-based methods usually use the fixed spatial graph size among all the layers. It severely affects the model’s abilities to exploit the global and semantic discriminati...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7827280/ https://ncbi.nlm.nih.gov/pubmed/33440785 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21020452 |
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