APSNet : Toward Adaptive Point Sampling for Efficient 3D Action Recognition
Observing that it is still a challenging task to deploy 3D action recognition methods in real-world scenarios, in this work, we investigate the accuracy-efficiency trade-off for 3D action recognition. We first introduce a simple and efficient backbone network structure for 3D action recognition, in...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 28., Seite 5287-5302 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2022
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |