Instance-Level Few-Shot Learning With Class Hierarchy Mining
Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to effectively utilizing the relationship between categories. In this paper, we exploit the hierarchical information to leve...
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Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 20., Seite 2374-2385
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Auteur principal: |
Nguyen Vu, Anh-Khoa
(Auteur) |
Autres auteurs: |
Do, Thanh-Toan,
Nguyen, Nhat-Duy,
Nguyen, Vinh-Tiep,
Ngo, Thanh Duc,
Nguyen, Tam V |
Format: | Article en ligne
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Langue: | English |
Publié: |
2023
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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 |