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Dynamic Training Data Dropout for Robust Deep Face ...
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由 Y Zhong 著作2021被引用 19 次 — For noise-robust deep face recognition, we propose a dynamic training data dropout (DTDD) method to dynamically filter the noise in the training ...
Dynamic Training Data Dropout for Robust Deep Face ...
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2024年10月22日 — For robust deep face recognition towards noise, we propose a dynamic training data dropout (DTDD) method to dynamically filter the noise in the ...
Dynamic Training Data Dropout for Robust Deep Face ...
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由 Y Zhong 著作2021被引用 19 次 — For noise-robust deep face recognition, we propose a dynamic training data dropout (DTDD) method to dynamically filter the noise in the training database and ...
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Yaoyao Zhong - Google Scholar
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2020. Dynamic training data dropout for robust deep face recognition. Y Zhong, W Deng, H Fang, J Hu, D Zhao, X Li, D Wen. IEEE Transactions on Multimedia 24 ...
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Dynamic training data dropout for robust deep face recognition. Y Zhong, W Deng, H Fang, J Hu, D Zhao, X Li, D Wen. IEEE Transactions on Multimedia 24, 1186 ...
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Unequal-training for deep face recognition with long-tailed noisy data ... Dynamic Training Data Dropout for Robust Deep Face Recognition Yaoyao Zhong ...
Yaoyao Zhong
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Postdoc, Beijing University of Posts and Telecommunications ; Dynamic Training Data Dropout for Robust Deep Face Recognition ·, Weihong Deng, Han Fang, Jiani Hu, ...
Dongchao Wen
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2024年10月11日 — Dynamic Training Data Dropout for Robust Deep Face Recognition. IEEE Trans. Multim. 24: 1186-1197 (2022). [c15]. view. electronic edition via ...
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Dynamic training data dropout for robust deep face recognition. Y Zhong, W Deng, H Fang, J Hu, D Zhao, X Li, D Wen. IEEE Transactions on Multimedia 24, 1186- ...
Adaptive Mining of Noise and Hard Samples for Robust Face ...
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2024年10月28日 — In this paper, we propose a robust deep face recognition model, RobustFace, by combining the advantages of margin-based learning models with the ...