A Multi-domain and Multi-modal Representation Disentangler for Cross-Domain Image Manipulation and Classification

Learning interpretable data representation has been an active research topic in deep learning and computer vision. While representation disentanglement is an effective technique for addressing this task, existing works cannot easily handle the problems in which manipulating and recognizing data acro...

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Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 15. Nov.
1. Verfasser: Yang, Fu-En (VerfasserIn)
Weitere Verfasser: Chang, Jing-Cheng, Tsai, Chung-Chi, Wang, Yu-Chiang Frank
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article