Dual Branch Multi-Level Semantic Learning for Few-Shot Segmentation
Few-shot semantic segmentation aims to segment novel-class objects in a query image with only a few annotated examples in support images. Although progress has been made recently by combining prototype-based metric learning, existing methods still face two main challenges. First, various intra-class...
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Détails bibliographiques
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 14., Seite 1432-1447
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Auteur principal: |
Chen, Yadang
(Auteur) |
Autres auteurs: |
Jiang, Ren,
Zheng, Yuhui,
Sheng, Bin,
Yang, Zhi-Xin,
Wu, Enhua |
Format: | Article en ligne
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Langue: | English |
Publié: |
2024
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Sujets: | Journal Article |