Towards interpretable face recognition / by Bangjie Yin.

Deep CNNs have been pushing the frontier of visual recognition over past years. Besides recognition accuracy, strong demands in understanding deep CNNs in the research community motivate developments of tools to dissect pre-trained models to visualize how they make predictions. Recent works further...

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Bibliographic Details
Main Author: Yin, Bangjie (Author)
Corporate Author: Michigan State University (Degree granting institution)
Other Authors: Liu, Xiaoming (Degree supervisor)
Language:English
Published: 2019.
Subjects:
Human face recognition (Computer science)
Convolutional neural networks.
Electronic dissertations.
Academic theses.
Genre:
Electronic dissertations.
Academic theses.
Online Access:
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Dissertation Note:
Thesis M.S. Michigan State University. Computer Science 2019
Physical Description:1 online resource (ix, 38 pages) : illustrations
Format: Thesis Electronic eBook

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Online Access

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