Selective Multiple Classifiers for Weakly Supervised Semantic Segmentation
ABSTRACT Existing weakly supervised semantic segmentation (WSSS) methods based on image‐level labels always rely on class activation maps (CAMs), which measure the relationships between features and classifiers. However, CAMs only focus on the most discriminative regions of images, resulting in thei...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2025-12-01
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| Serie: | CAAI Transactions on Intelligence Technology |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1049/cit2.70042 |
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