Semi-Supervised Image Deraining Using Knowledge Distillation

Image deraining has achieved considerable progress based on supervised learning with synthetic training pairs, but is usually limited in handling real-world rainy images. Although semi-supervised methods are suggested to exploit real-world rainy images when training deep deraining models, their perf...

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Vydáno v:	IEEE transactions on circuits and systems for video technology Ročník 32; číslo 12; s. 8327 - 8341
Hlavní autoři:	Cui, Xin, Wang, Cong, Ren, Dongwei, Chen, Yunjin, Zhu, Pengfei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Distillation Feature extraction knowledge distillation Modules Network architecture semi-supervised learning Semisupervised learning Single image deraining Source code Supervised learning Task analysis Training
ISSN:	1051-8215, 1558-2205
On-line přístup:	Získat plný text
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