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Data fusing and joint training for learning with noisy labels被引量：3
《Frontiers of Computer Science》2022年第6期63-70,共8页Yi WEI Mei XUE Xin LIU Pengxiang XU 
supported by SRC-Open Project of Research Center of Security Video and Image Processing Engineering Technology of Guizhou ([2020]001);Beijing Advanced Innovation Center for Intelligent Robots and Systems (2018IRS20);National Natural Science Foundation of China (Grant No.61973334).
It is well known that deep learning depends on a large amount of clean data.Because of high annotation cost,various methods have been devoted to annotating the data automatically.However,a larger number of the noisy l...
关键词：deep learning noisy labels data fusing 
Fusing magnitude and phase features with multiple face models for robust face recognition被引量：1
《Frontiers of Computer Science》2018年第6期1173-1191,共19页Yan LI Shiguang SHAN Ruiping WANG Zhen CUI Xilin CHEN 
partially supported by the National Basic Research Program of China (2015CB351802);the National Natural Science Foundation of China (Grant Nos.61390511,61222211, 61379083,61271445);the Strategic Priority Research Program of the CAS (XDB02070004); the Youth Innovation Promotion Association CAS (2015085).
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