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,...
| Những tác giả chính: | , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
SpringerOpen
2024-01-01
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| Loạt: | Computational Visual Media |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/s41095-022-0332-2 |