DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)

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摘要
Heterogeneous face recognition (HFR) refers to matching cross-domain faces and plays a crucial role in public security. Nevertheless, HFR is confronted with challenges from large domain discrepancy and insufficient heterogeneous data. In this paper, we formulate HFR as a dual generation problem, and tackle it via a novel dual variational generation (DVG-Face) framework. Specifically, a dual variat...
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关键词
Face recognition,Learning systems,Databases,Generators,Gallium nitride,Image recognition,Training
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