Modeling Image Segmentation Label Noise Through Concave Region Removal
The effects of label noise geometry on image segmentation model training are under-studied, in part because prevailing segmentation metrics such as the Intersection over Union are based on pixel counts and cannot describe spatial properties of label noise. It is well established that the degree of l...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11357936/ |
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