Two-Branch Attention Network via Efficient Semantic Coupling for One-Shot Learning

Over the past few years, Convolutional Neural Networks (CNNs) have achieved remarkable advancement for the tasks of one-shot image classification. However, the lack of effective attention modeling has limited its performance. In this paper, we propose a Two-branch (Content-aware and Position-aware)...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 02., Seite 341-351
Auteur principal: Li, Jun (Auteur)
Autres auteurs: Wang, Duorui, Liu, Xianglong, Shi, Zhiping, Wang, Meng
Format: Article en ligne
Langue:English
Publié: 2022
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article