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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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 45; H. 8; S. 9534 - 9551
Hauptverfasser:	Fu, Xueyang, Xiao, Jie, Zhu, Yurui, Liu, Aiping, Wu, Feng, Zha, Zheng-Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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