Multi-granularity sequence generation for hierarchical image classification
Abstract Hierarchical multi-granularity image classification is a challenging task that aims to tag each given image with multiple granularity labels simultaneously. Existing methods tend to overlook that different image regions contribute differently to label prediction at different granularities,...
| Главные авторы: | , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
SpringerOpen
2024-01-01
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| Серии: | Computational Visual Media |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s41095-022-0332-2 |