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Enhanced Spatial and Extended Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
In the skeleton-based human action recognition domain, the spatial-temporal graph convolution networks (ST-GCNs) have made great progress recently. However, they use only one fixed temporal convolution kernel, which is not enough to extract the temporal cues comprehensively. Moreover, simply connect...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7571203/ https://ncbi.nlm.nih.gov/pubmed/32942579 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185260 |
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