Dunhuang Buddhist Art Object Recognition Based on CenterNet
The CenterNet recognition algorithm exhibits impressive performance in deep learning-based object recognition methods. Utilizing the DLA-34 as the backbone for object detection, it achieves higher average precision than one-stage algorithms, albeit at a slower detection speed. We propose an enhanced...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2024-01-01
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| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/10695082/ |
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