Rain-Free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining

Rainy weather is a challenge for many vision-oriented tasks ( e.g. , object detection and segmentation), which causes performance degradation. Image deraining is an effective solution to avoid performance drop of downstream vision tasks. However, most existing deraining methods either fail to produc...

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Vydané v:	IEEE transactions on image processing Ročník 30; s. 7404 - 7418
Hlavní autori:	Jiang, Kui, Wang, Zhongyuan, Yi, Peng, Chen, Chen, Wang, Zheng, Wang, Xiao, Jiang, Junjun, Lin, Chia-Wen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	attention mechanism Blending Computational modeling Customer relationship management Degradation Feature extraction Image degradation Image deraining Image enhancement Image restoration Image segmentation multi-scale fusion non-local network Object recognition Performance degradation Production methods Rain Source code Task analysis Vision
ISSN:	1057-7149, 1941-0042, 1941-0042
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