HDVS: semi-supervised semantic segmentation via heterogeneous dual-branch voting supervision
Abstract Semi-supervised semantic segmentation, which aims to utilize large volumes of unlabeled images to achieve accurate segmentation results with fewer human annotations, has attracted increasing attention. Prior methods were primarily based on the assumption that the pseudo-labels generated by...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer
2026-02-01
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| Серии: | Visual Intelligence |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s44267-026-00107-3 |
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