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
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
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article