Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching
Weakly supervised semantic segmentation (WSSS) is a challenging yet important research field in vision community. In WSSS, the key problem is to generate high-quality pseudo segmentation masks (PSMs). Existing approaches mainly depend on the discriminative object part to generate PSMs, which would i...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 19., Seite 3086-3095
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| 1. Verfasser: |
Zhang, Dingwen
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Hao,
Zeng, Wenyuan,
Fang, Chaowei,
Cheng, Lechao,
Cheng, Ming-Ming,
Han, Junwei |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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