GMFAD: Towards generalized visual recognition via multilayer feature alignment and disentanglement

The deep learning based approaches which have been repeatedly proven to bring benefits to visual recognition tasks usually make a strong assumption that the training and test data are drawn from similar feature spaces and distributions. However, such an assumption may not always hold in various prac...

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Bibliographic Details
Main Authors: Li, Haoliang, Wang, Shiqi, Wan, Renjie, Kot, Alex Chichung
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/161899
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Institution: Nanyang Technological University
Language: English

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