Learning multi-scale attention network for fine-grained visual classification
Fine-grained visual classification (FGVC) is a very challenging task due to distinguishing subcategories under the same super-category. Recent works mainly localize discriminative image regions and capture subtle inter-class differences by utilizing attention-based methods. However, at the same laye...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
KeAi Communications Co., Ltd.
2025-11-01
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| Collection: | Journal of Information and Intelligence |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2949715925000186 |
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