Few-shot Fine-grained Image Classification Based on Neighborhood Fusion and Feature Enhancement
Currently fine-grained image classification faces challenges such as labeling difficulties, scarce sample numbers, and subtle category differences. To address these issues, a few-shot fine-grained image classification method based on neighborhood fusion and feature enhancement is proposed. First, th...
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| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Editorial Office of Computer Engineering
2026-02-01
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| Серія: | Jisuanji gongcheng |
| Предмети: | |
| Онлайн доступ: | https://www.ecice06.com/fileup/1000-3428/PDF/20260214.pdf |
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