Segment Concealed Objects With Incomplete Supervision
Incompletely-Supervised Concealed Object Segmentation (ISCOS) involves segmenting objects that seamlessly blend into their surrounding environments, utilizing incompletely annotated data, such as weak and semi-annotations, for model training. This task remains highly challenging due to (1) the limit...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 9 vom: 07. Aug., Seite 7832-7851
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| 1. Verfasser: |
He, Chunming
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Kai,
Zhang, Yachao,
Yang, Ziyun,
Pang, Youwei,
Tang, Longxiang,
Fang, Chengyu,
Zhang, Yulun,
Kong, Linghe,
Li, Xiu,
Farsiu, Sina |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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