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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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 32; H. 12; S. 8327 - 8341
Hauptverfasser:	Cui, Xin, Wang, Cong, Ren, Dongwei, Chen, Yunjin, Zhu, Pengfei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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