With the fast growth of deep learning, trainable frameworks have been presented to restore hazy images. However, the capability of most existing learning-based methods is limited since the parameters learned in an end-

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[1] Shiyu Zhao, " RESIDE-unpaired", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/66v0-6j78. Accessed: Apr. 12, 2024.
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doi = {10.21227/66v0-6j78},
url = {http://dx.doi.org/10.21227/66v0-6j78},
author = {Shiyu Zhao },
publisher = {IEEE Dataport},
title = { RESIDE-unpaired},
year = {2024} }
TY - DATA
T1 - RESIDE-unpaired
AU - Shiyu Zhao
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PB - IEEE Dataport
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Shiyu Zhao. (2024). RESIDE-unpaired. IEEE Dataport. http://dx.doi.org/10.21227/66v0-6j78
Shiyu Zhao, 2024. RESIDE-unpaired. Available at: http://dx.doi.org/10.21227/66v0-6j78.
Shiyu Zhao. (2024). " RESIDE-unpaired." Web.
1. Shiyu Zhao. RESIDE-unpaired [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/66v0-6j78
Shiyu Zhao. " RESIDE-unpaired." doi: 10.21227/66v0-6j78