Continual Image Deraining With Hypergraph Convolutional Networks

Image deraining is a challenging task since rain streaks have the characteristics of a spatially long structure and have a complex diversity. Existing deep learning-based methods mainly construct the deraining networks by stacking vanilla convolutional layers with local relations, and can only handl...

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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 45; číslo 8; s. 9534 - 9551
Hlavní autori:	Fu, Xueyang, Xiao, Jie, Zhu, Yurui, Liu, Aiping, Wu, Feng, Zha, Zheng-Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Brain Continual learning Convolution Convolutional codes Datasets Deep learning Graph theory Graphs hypergraph convolution image deraining image restoration Machine learning Memory Optimization Plastic properties Rain Synapses Synthetic data Task analysis Training
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
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