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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on pattern analysis and machine intelligence Ročník 45; číslo 8; s. 9534 - 9551
Hlavní autoři:	Fu, Xueyang, Xiao, Jie, Zhu, Yurui, Liu, Aiping, Wu, Feng, Zha, Zheng-Jun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!