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of 3
pro vyhledávání: '"Ye, Xinan"'
Efficient and effective on-line detection and correction of bad-pixels can improve yield and increase the expected lifetime of image sensors. This paper presents a comprehensive Deep Learning (DL) based on-line detection and correction approach, suit
Externí odkaz:
http://arxiv.org/abs/2310.11637
Autor:
Hu, Yue, Ye, Xinan, Liu, Yifei, Kundu, Souvik, Datta, Gourav, Mutnuri, Srikar, Asavisanu, Namo, Ayanian, Nora, Psounis, Konstantinos, Beerel, Peter
This paper presents "FireFly", a synthetic dataset for ember detection created using Unreal Engine 4 (UE4), designed to overcome the current lack of ember-specific training resources. To create the dataset, we present a tool that allows the automated
Externí odkaz:
http://arxiv.org/abs/2308.03164
Autor:
Deng, Yue1 (AUTHOR), Ye, Xinan1 (AUTHOR), Guo, Zhen1 (AUTHOR), Ke, Changjian1,2 (AUTHOR) cjke@mail.hust.edu.cn, Wang, Haoyu1 (AUTHOR), Xing, Chen1 (AUTHOR), Zhong, Yibo1 (AUTHOR), Liu, Deming1 (AUTHOR)
Publikováno v:
Optical & Quantum Electronics. Nov2020, Vol. 52 Issue 11, p1-11. 11p.