{"id":"https://openalex.org/W3210048667","doi":"https://doi.org/10.1109/tip.2021.3122093","title":"Rethinking the U-Shape Structure for Salient Object Detection","display_name":"Rethinking the U-Shape Structure for Salient Object Detection","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3210048667","doi":"https://doi.org/10.1109/tip.2021.3122093","mag":"3210048667","pmid":"https://pubmed.ncbi.nlm.nih.gov/34705648"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3122093","doi":"https://doi.org/10.1109/tip.2021.3122093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3122093","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W3210048667"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.11294","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059524537","display_name":"Jiangjiang Liu","orcid":"https://orcid.org/0000-0002-1341-2763","observed_orcids":["https://orcid.org/0000-0002-1341-2763"]},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang-Jiang Liu","raw_affiliation_strings":["College of Computer Science, Nankai University","College of Computer Science Nankai University  Tianjin China"],"raw_orcid":"https://orcid.org/0000-0002-1341-2763","affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Computer Science Nankai University  Tianjin China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037543600","display_name":"Zhiang Liu","orcid":"https://orcid.org/0000-0002-3319-4492","observed_orcids":["https://orcid.org/0000-0002-3319-4492"]},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Ang Liu","raw_affiliation_strings":["College of Computer Science, Nankai University","College of Computer Science Nankai University  Tianjin China"],"raw_orcid":"https://orcid.org/0000-0002-3319-4492","affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Computer Science Nankai University  Tianjin China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103110081","display_name":"Pai Peng","orcid":"https://orcid.org/0000-0002-7129-6174","observed_orcids":["https://orcid.org/0000-0002-7129-6174"]},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pai Peng","raw_affiliation_strings":["Tencent","Tencent, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037131575","display_name":"Ming\u2010Ming Cheng","orcid":"https://orcid.org/0000-0001-5550-8758","observed_orcids":["https://orcid.org/0000-0001-5550-8758"]},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Ming Cheng","raw_affiliation_strings":["Tencent. (e-mail: cmm@nankai.edu.cn)","College of Computer Science Nankai University  Tianjin China"],"raw_orcid":"https://orcid.org/0000-0001-5550-8758","affiliations":[{"raw_affiliation_string":"Tencent. (e-mail: cmm@nankai.edu.cn)","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"College of Computer Science Nankai University  Tianjin China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":2.4438,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.899877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"9030","last_page":"9042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/salient-object-detection","display_name":"salient object detection","score":1.0},{"id":"https://openalex.org/keywords/cross-scale-feature-interaction","display_name":"cross-scale feature interaction","score":0.8399999737739563},{"id":"https://openalex.org/keywords/multi-scale-feature-aggregation","display_name":"multi-scale feature aggregation","score":0.9459999799728394},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.531000018119812}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8341082334518433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753296494483948},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6163352131843567},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5986660122871399},{"id":"https://openalex.org/C135798126","wikidata":"https://www.wikidata.org/wiki/Q2167279","display_name":"Top-down and bottom-up design","level":2,"score":0.5708038210868835},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5303909182548523},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5030938982963562},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4828227460384369},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4809236228466034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4725101888179779},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4612961709499359},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.43478935956954956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41735637187957764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3443426787853241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33057019114494324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3264446258544922},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27726656198501587},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2021.3122093","doi":"https://doi.org/10.1109/tip.2021.3122093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3122093","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:34705648","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34705648","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2012.11294","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.11294","pdf_url":"https://arxiv.org/pdf/2012.11294","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2012.11294","doi":"https://doi.org/10.48550/arxiv.2012.11294","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.11294","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.11294","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.11294","pdf_url":"https://arxiv.org/pdf/2012.11294","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1349274172","display_name":null,"funder_award_id":"2018AAA0100400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3432882601","display_name":null,"funder_award_id":"61922046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210048667.pdf","grobid_xml":"https://content.openalex.org/works/W3210048667.grobid-xml"},"referenced_works_count":90,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1772076007","https://openalex.org/W1836465849","https://openalex.org/W1854404533","https://openalex.org/W1894057436","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1982075130","https://openalex.org/W2002781701","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2060095179","https://openalex.org/W2086791339","https://openalex.org/W2128340050","https://openalex.org/W2133515615","https://openalex.org/W2160613239","https://openalex.org/W2161185676","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2293332611","https://openalex.org/W2412782625","https://openalex.org/W2415535521","https://openalex.org/W2461475918","https://openalex.org/W2519528544","https://openalex.org/W2553303224","https://openalex.org/W2560023338","https://openalex.org/W2560092514","https://openalex.org/W2565639579","https://openalex.org/W2569272946","https://openalex.org/W2605929543","https://openalex.org/W2740667773","https://openalex.org/W2744613561","https://openalex.org/W2752782242","https://openalex.org/W2780708736","https://openalex.org/W2783231089","https://openalex.org/W2798791651","https://openalex.org/W2798825526","https://openalex.org/W2799074129","https://openalex.org/W2799213142","https://openalex.org/W2884585870","https://openalex.org/W2895251968","https://openalex.org/W2896276220","https://openalex.org/W2914847460","https://openalex.org/W2917790938","https://openalex.org/W2936599103","https://openalex.org/W2938260698","https://openalex.org/W2939217524","https://openalex.org/W2948500402","https://openalex.org/W2948510860","https://openalex.org/W2948537313","https://openalex.org/W2955058313","https://openalex.org/W2955060956","https://openalex.org/W2961348656","https://openalex.org/W2962159375","https://openalex.org/W2962680827","https://openalex.org/W2962721361","https://openalex.org/W2963032190","https://openalex.org/W2963112696","https://openalex.org/W2963136578","https://openalex.org/W2963346885","https://openalex.org/W2963420686","https://openalex.org/W2963685207","https://openalex.org/W2963706010","https://openalex.org/W2963857746","https://openalex.org/W2963868681","https://openalex.org/W2985228975","https://openalex.org/W2986390834","https://openalex.org/W2986825110","https://openalex.org/W2987701848","https://openalex.org/W2989161706","https://openalex.org/W2990984982","https://openalex.org/W2991089415","https://openalex.org/W2998449272","https://openalex.org/W3003121299","https://openalex.org/W3008914387","https://openalex.org/W3034185160","https://openalex.org/W3034752215","https://openalex.org/W3034971973","https://openalex.org/W3035290198","https://openalex.org/W3035422681","https://openalex.org/W3040304705","https://openalex.org/W3046597754","https://openalex.org/W3080223684","https://openalex.org/W3098389804","https://openalex.org/W3107944836","https://openalex.org/W3109623941","https://openalex.org/W3165745140","https://openalex.org/W3175630421","https://openalex.org/W4239147634","https://openalex.org/W6774732966"],"related_works":["https://openalex.org/W3212371075","https://openalex.org/W3046627924","https://openalex.org/W4211054804","https://openalex.org/W7202388363","https://openalex.org/W3029368604","https://openalex.org/W4404863663","https://openalex.org/W7102753483","https://openalex.org/W4387757595","https://openalex.org/W3120530455"],"abstract_inverted_index":{"The":[0,141],"U-shape":[1],"structure":[2],"has":[3],"shown":[4],"its":[5],"advantage":[6],"in":[7],"salient":[8,105],"object":[9,106],"detection":[10,107],"for":[11],"efficiently":[12],"combining":[13],"multi-scale":[14,78],"features.":[15,58],"However,":[16],"most":[17],"existing":[18,103],"U-shape-based":[19,104],"methods":[20,108],"focused":[21],"on":[22,132],"improving":[23],"the":[24,31,42,61,111,114,129],"bottom-up":[25,115],"and":[26,54,116],"top-down":[27,117],"pathways":[28],"while":[29,90],"ignoring":[30],"connections":[32,112],"between":[33,113],"them.":[34],"This":[35],"paper":[36],"shows":[37],"that":[38,74,122],"we":[39,66],"can":[40,75,85,99],"achieve":[41],"cross-scale":[43],"information":[44],"interaction":[45],"by":[46,109],"centralizing":[47],"these":[48],"connections,":[49],"hence":[50],"obtaining":[51],"semantically":[52],"stronger":[53],"positionally":[55],"more":[56,88],"precise":[57],"To":[59],"inspire":[60],"newly":[62],"proposed":[63,124],"strategy's":[64],"potential,":[65],"further":[67],"design":[68],"a":[69,93],"relative":[70],"global":[71],"calibration":[72],"module":[73],"simultaneously":[76],"process":[77],"inputs":[79],"without":[80],"spatial":[81],"interpolation.":[82],"Our":[83,97],"approach":[84,98,125],"aggregate":[86],"features":[87],"effectively":[89],"introducing":[91],"only":[92],"few":[94],"additional":[95],"parameters.":[96],"cooperate":[100],"with":[101,137],"various":[102],"substituting":[110],"pathways.":[118],"Experimental":[119],"results":[120],"demonstrate":[121],"our":[123],"performs":[126],"favorably":[127],"against":[128],"previous":[130],"state-of-the-arts":[131],"five":[133],"widely":[134],"used":[135],"benchmarks":[136],"less":[138],"computational":[139],"complexity.":[140],"source":[142],"code":[143],"will":[144],"be":[145],"publicly":[146],"available.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2021-11-08T00:00:00"}