Transcription of Pose-Robust Face Recognition via Deep Residual …
{{id}} {{{paragraph}}}
Example: biology
Pose-Robust Face Recognition via Deep Residual …
Pose-Robust Face Recognition via Deep Residual Equivariant MappingKaidi Cao2 Yu Rong1,2 Cheng Li2 Xiaoou Tang1 Chen Change Loy11 Department of Information Engineering, The Chinese university of Hong Kong2 SenseTime Research{ry017, ccloy, Recognition achieves exceptional success thanks tothe emergence of deep learning. However, many contempo-rary face Recognition models still perform relatively poor inprocessing profile faces compared to frontal faces. A keyreason is that the number of frontal and profile trainingfaces are highly imbalanced - there are extensively morefrontal training samples compared to profile ones. In ad-dition, it is intrinsically hard to learn a deep represen-tation that is geometrically invariant to large pose varia-tions.}
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping Kaidi Cao 2Yu Rong1; Cheng Li Xiaoou Tang 1Chen Change Loy 1Department of Information Engineering, The Chinese University of Hong Kong 2SenseTime Research fry017, ccloy, xtangg@ie.cuhk.edu.hk fcaokaidi, chenglig@sensetime.com
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: