Non-target feature filtering for weakly supervised semantic segmentation
Abstract Weakly supervised semantic segmentation (WSSS) utilizes weak labels to learn semantic segmentation models, significantly reducing reliance on pixel-level annotations. WSSS typically employs a multi-label classification network to extract image features for constructing localization maps. Th...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Springer
2024-12-01
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| Серія: | Complex & Intelligent Systems |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s40747-024-01678-8 |
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