From synthetic to real: Image dehazing collaborating with unlabeled real data

Y Liu, L Zhu, S Pei, H Fu, J Qin, Q Zhang… - Proceedings of the 29th …, 2021 - dl.acm.org
Single image dehazing is a challenging task, for which the domain shift between synthetic
training data and real-world testing images usually leads to degradation of existing methods …
被引用次数：106 相关文章

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Y Liu, L Zhu, S Pei, H Fu, J Qin, Q Zhang… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Single image dehazing is a challenging task, for which the domain shift between synthetic
training data and real-world testing images usually leads to degradation of existing methods …

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Y Liu, L Zhu, S Pei, H Fu, J Qin, Q Zhang, L Wan… - arXiv preprint arXiv …, 2021 - arxiv.org
Single image dehazing is a challenging task, for which the domain shift between synthetic
training data and real-world testing images usually leads to degradation of existing methods …

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Y Liu, L Zhu, S Pei, H Fu, J Qin… - … on Multimedia, MM …, 2021 - research.polyu.edu.hk
Single image dehazing is a challenging task, for which the domain shift between synthetic
training data and real-world testing images usually leads to degradation of existing methods …

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Y Liu, L Zhu, S Pei, H Fu, J Qin… - … on Multimedia, MM …, 2021 - nchr.elsevierpure.com
Single image dehazing is a challenging task, for which the domain shift between synthetic
training data and real-world testing images usually leads to degradation of existing methods …