Agri-VLG: Robust Identification of Counterfeit Agricultural Products Using Few-Shot Annotated Data and Open-Source Knowledge
Deep learning has achieved remarkable success in computer vision, yet the scarcity of labeled data in specialized fields like counterfeit agricultural product identification remains a significant challenge. While humans can distinguish authentic goods from fakes using prior knowledge, machines often...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2026-01-01
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| Серии: | IEEE Access |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/11605053/ |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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