Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285082702> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4285082702 endingPage "107180" @default.
- W4285082702 startingPage "107180" @default.
- W4285082702 abstract "Aquaculture plays a critical role in food security and nutrition strategies. The application of intelligent aquaculture technology has shown promising performance in improving aquaculture productivity and increasing economic benefits with its rapid advancement and good prospects. However, degraded underwater images have hampered the existing computer vision applications in intelligent aquaculture. To this end, a novel Tied Bilateral learning network is proposed for Aquaculture Image Enhancement (TBAIE), which improves the degraded aquaculture images to meet the requirements of various computer vision applications in aquaculture. Concretely, a novel multiple tied guidance module is designed to generate a multi-channel feature map and capture long-range features based on input. Then, a feature fusion module is introduced with a novel tied attention block to blend the feature and suppress noise with a low computational resource. Experimental results demonstrate that the proposed TBAIE can improve the quality of aquaculture images and remove color distortion. Moreover, TBAIE can achieve state-of-the-art in quantitative and qualitative metrics and meet the practical requirements of different aquaculture vision tasks." @default.
- W4285082702 created "2022-07-14" @default.
- W4285082702 creator A5005228021 @default.
- W4285082702 creator A5018365310 @default.
- W4285082702 creator A5049883225 @default.
- W4285082702 creator A5084484303 @default.
- W4285082702 date "2022-08-01" @default.
- W4285082702 modified "2023-10-18" @default.
- W4285082702 title "Tied Bilateral learning for Aquaculture Image Enhancement" @default.
- W4285082702 cites W1901129140 @default.
- W4285082702 cites W1968707439 @default.
- W4285082702 cites W1982471090 @default.
- W4285082702 cites W2009071067 @default.
- W4285082702 cites W2081140338 @default.
- W4285082702 cites W2102166818 @default.
- W4285082702 cites W2124386111 @default.
- W4285082702 cites W2133665775 @default.
- W4285082702 cites W2181646778 @default.
- W4285082702 cites W2194775991 @default.
- W4285082702 cites W2587107113 @default.
- W4285082702 cites W2735974062 @default.
- W4285082702 cites W2752782242 @default.
- W4285082702 cites W2794405642 @default.
- W4285082702 cites W2950055287 @default.
- W4285082702 cites W2962793481 @default.
- W4285082702 cites W2964088115 @default.
- W4285082702 cites W2990176100 @default.
- W4285082702 cites W3006777311 @default.
- W4285082702 cites W3008350376 @default.
- W4285082702 cites W3088934216 @default.
- W4285082702 cites W3107989310 @default.
- W4285082702 cites W3136148319 @default.
- W4285082702 cites W3151882058 @default.
- W4285082702 cites W3159660641 @default.
- W4285082702 cites W3162614572 @default.
- W4285082702 cites W3170697543 @default.
- W4285082702 cites W3172759799 @default.
- W4285082702 cites W3177127346 @default.
- W4285082702 cites W3205814169 @default.
- W4285082702 cites W3207918547 @default.
- W4285082702 cites W3208798508 @default.
- W4285082702 cites W3215918889 @default.
- W4285082702 doi "https://doi.org/10.1016/j.compag.2022.107180" @default.
- W4285082702 hasPublicationYear "2022" @default.
- W4285082702 type Work @default.
- W4285082702 citedByCount "1" @default.
- W4285082702 countsByYear W42850827022023 @default.
- W4285082702 crossrefType "journal-article" @default.
- W4285082702 hasAuthorship W4285082702A5005228021 @default.
- W4285082702 hasAuthorship W4285082702A5018365310 @default.
- W4285082702 hasAuthorship W4285082702A5049883225 @default.
- W4285082702 hasAuthorship W4285082702A5084484303 @default.
- W4285082702 hasConcept C138885662 @default.
- W4285082702 hasConcept C154945302 @default.
- W4285082702 hasConcept C2776401178 @default.
- W4285082702 hasConcept C2909208804 @default.
- W4285082702 hasConcept C31972630 @default.
- W4285082702 hasConcept C41008148 @default.
- W4285082702 hasConcept C41895202 @default.
- W4285082702 hasConcept C505870484 @default.
- W4285082702 hasConcept C86803240 @default.
- W4285082702 hasConcept C86909935 @default.
- W4285082702 hasConceptScore W4285082702C138885662 @default.
- W4285082702 hasConceptScore W4285082702C154945302 @default.
- W4285082702 hasConceptScore W4285082702C2776401178 @default.
- W4285082702 hasConceptScore W4285082702C2909208804 @default.
- W4285082702 hasConceptScore W4285082702C31972630 @default.
- W4285082702 hasConceptScore W4285082702C41008148 @default.
- W4285082702 hasConceptScore W4285082702C41895202 @default.
- W4285082702 hasConceptScore W4285082702C505870484 @default.
- W4285082702 hasConceptScore W4285082702C86803240 @default.
- W4285082702 hasConceptScore W4285082702C86909935 @default.
- W4285082702 hasLocation W42850827021 @default.
- W4285082702 hasOpenAccess W4285082702 @default.
- W4285082702 hasPrimaryLocation W42850827021 @default.
- W4285082702 hasRelatedWork W1504288058 @default.
- W4285082702 hasRelatedWork W2017205855 @default.
- W4285082702 hasRelatedWork W2031347084 @default.
- W4285082702 hasRelatedWork W2048505601 @default.
- W4285082702 hasRelatedWork W2167293474 @default.
- W4285082702 hasRelatedWork W2331674254 @default.
- W4285082702 hasRelatedWork W2358403311 @default.
- W4285082702 hasRelatedWork W2922188210 @default.
- W4285082702 hasRelatedWork W2979079341 @default.
- W4285082702 hasRelatedWork W3042897387 @default.
- W4285082702 hasVolume "199" @default.
- W4285082702 isParatext "false" @default.
- W4285082702 isRetracted "false" @default.
- W4285082702 workType "article" @default.