Matches in SemOpenAlex for { <https://semopenalex.org/work/W3164401850> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W3164401850 endingPage "103106" @default.
- W3164401850 startingPage "103106" @default.
- W3164401850 abstract "Single image deraining is one of challenges in image processing. An efficient algorithm for single image deraining can significantly improve the image quality in severe weather conditions. Existing deraining algorithms only pay attention to spatial characteristics or channel information, which leads to poor performance of the network. In this paper, we propose a novel dual attention residual group network (DARGNet) to get better deraining performance. Specifically, the framework of dual attention includes spatial attention and channel attention. The spatial attention can extract the multi-scale feature to adapt to different shapes and size of the rain streaks. Meanwhile, channel attention has established the dependence relationship among different channels. In addition, in order to simplify the structure, we integrate the dual attention module and convolution layers into the residual groups, which also improves information transmission. Extensive experiments on synthesized and real-world datasets demonstrate that the proposed network achieves a good effect of deraining tasks. The source code is available at https://github.com/zhanghai404." @default.
- W3164401850 created "2021-06-07" @default.
- W3164401850 creator A5032806691 @default.
- W3164401850 creator A5051268161 @default.
- W3164401850 creator A5060641809 @default.
- W3164401850 creator A5074318342 @default.
- W3164401850 date "2021-09-01" @default.
- W3164401850 modified "2023-09-27" @default.
- W3164401850 title "Dual attention residual group networks for single image deraining" @default.
- W3164401850 cites W1965572510 @default.
- W3164401850 cites W2017416107 @default.
- W3164401850 cites W2121396509 @default.
- W3164401850 cites W2121880036 @default.
- W3164401850 cites W2133665775 @default.
- W3164401850 cites W2146837664 @default.
- W3164401850 cites W2509784253 @default.
- W3164401850 cites W2562637781 @default.
- W3164401850 cites W2766501232 @default.
- W3164401850 cites W2921478860 @default.
- W3164401850 cites W2960412031 @default.
- W3164401850 cites W2964267765 @default.
- W3164401850 cites W3125540215 @default.
- W3164401850 doi "https://doi.org/10.1016/j.dsp.2021.103106" @default.
- W3164401850 hasPublicationYear "2021" @default.
- W3164401850 type Work @default.
- W3164401850 sameAs 3164401850 @default.
- W3164401850 citedByCount "4" @default.
- W3164401850 countsByYear W31644018502022 @default.
- W3164401850 countsByYear W31644018502023 @default.
- W3164401850 crossrefType "journal-article" @default.
- W3164401850 hasAuthorship W3164401850A5032806691 @default.
- W3164401850 hasAuthorship W3164401850A5051268161 @default.
- W3164401850 hasAuthorship W3164401850A5060641809 @default.
- W3164401850 hasAuthorship W3164401850A5074318342 @default.
- W3164401850 hasConcept C11413529 @default.
- W3164401850 hasConcept C115961682 @default.
- W3164401850 hasConcept C124101348 @default.
- W3164401850 hasConcept C124952713 @default.
- W3164401850 hasConcept C127162648 @default.
- W3164401850 hasConcept C138885662 @default.
- W3164401850 hasConcept C142362112 @default.
- W3164401850 hasConcept C153180895 @default.
- W3164401850 hasConcept C154945302 @default.
- W3164401850 hasConcept C155512373 @default.
- W3164401850 hasConcept C177264268 @default.
- W3164401850 hasConcept C199360897 @default.
- W3164401850 hasConcept C2776401178 @default.
- W3164401850 hasConcept C2776760102 @default.
- W3164401850 hasConcept C2780980858 @default.
- W3164401850 hasConcept C41008148 @default.
- W3164401850 hasConcept C41895202 @default.
- W3164401850 hasConcept C45347329 @default.
- W3164401850 hasConcept C50644808 @default.
- W3164401850 hasConcept C76155785 @default.
- W3164401850 hasConceptScore W3164401850C11413529 @default.
- W3164401850 hasConceptScore W3164401850C115961682 @default.
- W3164401850 hasConceptScore W3164401850C124101348 @default.
- W3164401850 hasConceptScore W3164401850C124952713 @default.
- W3164401850 hasConceptScore W3164401850C127162648 @default.
- W3164401850 hasConceptScore W3164401850C138885662 @default.
- W3164401850 hasConceptScore W3164401850C142362112 @default.
- W3164401850 hasConceptScore W3164401850C153180895 @default.
- W3164401850 hasConceptScore W3164401850C154945302 @default.
- W3164401850 hasConceptScore W3164401850C155512373 @default.
- W3164401850 hasConceptScore W3164401850C177264268 @default.
- W3164401850 hasConceptScore W3164401850C199360897 @default.
- W3164401850 hasConceptScore W3164401850C2776401178 @default.
- W3164401850 hasConceptScore W3164401850C2776760102 @default.
- W3164401850 hasConceptScore W3164401850C2780980858 @default.
- W3164401850 hasConceptScore W3164401850C41008148 @default.
- W3164401850 hasConceptScore W3164401850C41895202 @default.
- W3164401850 hasConceptScore W3164401850C45347329 @default.
- W3164401850 hasConceptScore W3164401850C50644808 @default.
- W3164401850 hasConceptScore W3164401850C76155785 @default.
- W3164401850 hasFunder F4320321001 @default.
- W3164401850 hasLocation W31644018501 @default.
- W3164401850 hasOpenAccess W3164401850 @default.
- W3164401850 hasPrimaryLocation W31644018501 @default.
- W3164401850 hasRelatedWork W2015538044 @default.
- W3164401850 hasRelatedWork W2016461833 @default.
- W3164401850 hasRelatedWork W2052253960 @default.
- W3164401850 hasRelatedWork W2382607599 @default.
- W3164401850 hasRelatedWork W2798617638 @default.
- W3164401850 hasRelatedWork W3014195705 @default.
- W3164401850 hasRelatedWork W3177163058 @default.
- W3164401850 hasRelatedWork W3200676563 @default.
- W3164401850 hasRelatedWork W4301184459 @default.
- W3164401850 hasRelatedWork W2480412556 @default.
- W3164401850 hasVolume "116" @default.
- W3164401850 isParatext "false" @default.
- W3164401850 isRetracted "false" @default.
- W3164401850 magId "3164401850" @default.
- W3164401850 workType "article" @default.