Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning

Bidirectional mapping-based generalized zero-shot learning (GZSL) methods rely on the quality of synthesized features to recognize seen and unseen data. Therefore, learning a joint distribution of seen-unseen classes and preserving the distinction between seen-unseen classes is crucial for GZSL meth...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 20., Seite 721-733
Auteur principal:	Shermin, Tasfia (Auteur)
Autres auteurs:	Teng, Shyh Wei, Sohel, Ferdous, Murshed, Manzur, Lu, Guojun
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