載入...
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...
Na minha lista:
| 發表在: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2021
|
| 主題: | |
| 在線閱讀: | 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 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|