Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313396178> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4313396178 endingPage "11" @default.
- W4313396178 startingPage "1" @default.
- W4313396178 abstract "This paper investigates a cross-scale space semantic feature coherent image inpainting approach since it is challenging for the existing image inpainting methods to fuse the semantic feature information effectively. Firstly, we learn the feature semantic relevance step-by-step from the high-level semantic feature map’s attention mechanism and then we apply what we have learned to the preceding low-level feature map. In order to preserve the visual and semantic coherence of image repair, the missing content can be filled by changing attention from deep to shallow in a multiscale manner. A broader receptive field is generated by partial convolution, and semantic feature relevance is achieved using a multiscale cross feature space feature attention mechanism based on semantic attention. This technique improves the extensibility and continuity of the restored images by reconstructing the semantic information of different feature spaces, not only taking into account the reuse of existing semantic space features but also including across feature spaces. The experimental results demonstrated an improvement in PSNR, SSIM, and L1 performance by 10.50%, 0.13%, and 47.09%, respectively, with clear benefits." @default.
- W4313396178 created "2023-01-06" @default.
- W4313396178 creator A5043334116 @default.
- W4313396178 creator A5085926637 @default.
- W4313396178 date "2022-12-31" @default.
- W4313396178 modified "2023-10-14" @default.
- W4313396178 title "Multichannel Cross-Scale Semantic Coherent Attention Network for Image Inpainting" @default.
- W4313396178 cites W1834627138 @default.
- W4313396178 cites W1930824406 @default.
- W4313396178 cites W1993120651 @default.
- W4313396178 cites W2037131007 @default.
- W4313396178 cites W2064309976 @default.
- W4313396178 cites W2105038642 @default.
- W4313396178 cites W2114770744 @default.
- W4313396178 cites W2125873654 @default.
- W4313396178 cites W2133665775 @default.
- W4313396178 cites W2520827822 @default.
- W4313396178 cites W2738588019 @default.
- W4313396178 cites W2739761758 @default.
- W4313396178 cites W2784790939 @default.
- W4313396178 cites W2896434438 @default.
- W4313396178 cites W2950820654 @default.
- W4313396178 cites W2954039338 @default.
- W4313396178 cites W2963255313 @default.
- W4313396178 cites W2963420272 @default.
- W4313396178 cites W2964148878 @default.
- W4313396178 cites W2981812367 @default.
- W4313396178 cites W2991377405 @default.
- W4313396178 cites W3017183312 @default.
- W4313396178 cites W3034660178 @default.
- W4313396178 cites W3035512475 @default.
- W4313396178 cites W3041524874 @default.
- W4313396178 cites W3048552011 @default.
- W4313396178 cites W3100903158 @default.
- W4313396178 cites W3105938520 @default.
- W4313396178 cites W3108554146 @default.
- W4313396178 cites W3157862381 @default.
- W4313396178 cites W3204170321 @default.
- W4313396178 cites W3206082266 @default.
- W4313396178 cites W4225592316 @default.
- W4313396178 cites W4287241504 @default.
- W4313396178 cites W4312771828 @default.
- W4313396178 doi "https://doi.org/10.1155/2022/5165962" @default.
- W4313396178 hasPublicationYear "2022" @default.
- W4313396178 type Work @default.
- W4313396178 citedByCount "0" @default.
- W4313396178 crossrefType "journal-article" @default.
- W4313396178 hasAuthorship W4313396178A5043334116 @default.
- W4313396178 hasAuthorship W4313396178A5085926637 @default.
- W4313396178 hasBestOaLocation W43133961781 @default.
- W4313396178 hasConcept C115961682 @default.
- W4313396178 hasConcept C11727466 @default.
- W4313396178 hasConcept C138885662 @default.
- W4313396178 hasConcept C153180895 @default.
- W4313396178 hasConcept C154945302 @default.
- W4313396178 hasConcept C184337299 @default.
- W4313396178 hasConcept C199360897 @default.
- W4313396178 hasConcept C2776401178 @default.
- W4313396178 hasConcept C2781122975 @default.
- W4313396178 hasConcept C41008148 @default.
- W4313396178 hasConcept C41895202 @default.
- W4313396178 hasConcept C45347329 @default.
- W4313396178 hasConcept C50644808 @default.
- W4313396178 hasConceptScore W4313396178C115961682 @default.
- W4313396178 hasConceptScore W4313396178C11727466 @default.
- W4313396178 hasConceptScore W4313396178C138885662 @default.
- W4313396178 hasConceptScore W4313396178C153180895 @default.
- W4313396178 hasConceptScore W4313396178C154945302 @default.
- W4313396178 hasConceptScore W4313396178C184337299 @default.
- W4313396178 hasConceptScore W4313396178C199360897 @default.
- W4313396178 hasConceptScore W4313396178C2776401178 @default.
- W4313396178 hasConceptScore W4313396178C2781122975 @default.
- W4313396178 hasConceptScore W4313396178C41008148 @default.
- W4313396178 hasConceptScore W4313396178C41895202 @default.
- W4313396178 hasConceptScore W4313396178C45347329 @default.
- W4313396178 hasConceptScore W4313396178C50644808 @default.
- W4313396178 hasFunder F4320321001 @default.
- W4313396178 hasLocation W43133961781 @default.
- W4313396178 hasOpenAccess W4313396178 @default.
- W4313396178 hasPrimaryLocation W43133961781 @default.
- W4313396178 hasRelatedWork W1533292911 @default.
- W4313396178 hasRelatedWork W2005185696 @default.
- W4313396178 hasRelatedWork W2546942002 @default.
- W4313396178 hasRelatedWork W2964148878 @default.
- W4313396178 hasRelatedWork W2970216048 @default.
- W4313396178 hasRelatedWork W3089765384 @default.
- W4313396178 hasRelatedWork W3172968066 @default.
- W4313396178 hasRelatedWork W4210427169 @default.
- W4313396178 hasRelatedWork W4220957350 @default.
- W4313396178 hasRelatedWork W4372284801 @default.
- W4313396178 hasVolume "2022" @default.
- W4313396178 isParatext "false" @default.
- W4313396178 isRetracted "false" @default.
- W4313396178 workType "article" @default.