Feature Mixture on Pre-Trained Model for Few-Shot Learning

Few-shot learning (FSL) aims at recognizing a novel object under limited training samples. A robust feature extractor (backbone) can significantly improve the recognition performance of the FSL model. However, training an effective backbone is a challenging issue since 1) designing and validating st...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 02., Seite 4104-4115
Auteur principal:	Wang, Shuo (Auteur)
Autres auteurs:	Lu, Jinda, Xu, Haiyang, Hao, Yanbin, He, Xiangnan
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article