Querying Labeled for Unlabeled : Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation aims to learn a semantic segmentation model via limited labeled images and adequate unlabeled images. The key to this task is generating reliable pseudo labels for unlabeled images. Existing methods mainly focus on producing reliable pseudo labels based on the c...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 7 vom: 02. Juli, Seite 8827-8844
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| 1. Verfasser: |
Wu, Linshan
(VerfasserIn) |
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| Weitere Verfasser: |
Fang, Leyuan,
He, Xingxin,
He, Min,
Ma, Jiayi,
Zhong, Zhun |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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