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,...
| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
SpringerOpen
2024-01-01
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| シリーズ: | Computational Visual Media |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s41095-022-0332-2 |