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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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 9 vom: 07. Aug., Seite 7832-7851
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| Auteur principal: |
He, Chunming
(Auteur) |
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| Autres auteurs: |
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: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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