{"id":"https://openalex.org/W4206409771","doi":"https://doi.org/10.1109/bigdata52589.2021.9671666","title":"ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection","display_name":"ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4206409771","doi":"https://doi.org/10.1109/bigdata52589.2021.9671666"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671666","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101410093","display_name":"Haiyang He","orcid":"https://orcid.org/0000-0001-6422-0692"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang He","raw_affiliation_strings":["College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101468027","display_name":"Xiaolin Li","orcid":"https://orcid.org/0000-0002-5670-8660"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Li","raw_affiliation_strings":["College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461020","display_name":"Zhihong Wang","orcid":"https://orcid.org/0000-0002-5037-1884"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Wang","raw_affiliation_strings":["College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005835805","display_name":"Shiguo Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguo Huang","raw_affiliation_strings":["College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China","institution_ids":["https://openalex.org/I61057504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I61057504"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1037","last_page":"1044"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9758999943733215,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.8131273984909058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7748129367828369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7091509103775024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5997145175933838},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5727918148040771},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.566102147102356},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5140958428382874},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4843910336494446},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.46452057361602783},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4575241804122925},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4463707506656647},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4236098527908325},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41571515798568726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.388701856136322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12817421555519104}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8131273984909058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7748129367828369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7091509103775024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5997145175933838},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5727918148040771},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.566102147102356},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5140958428382874},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4843910336494446},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.46452057361602783},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4575241804122925},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4463707506656647},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4236098527908325},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41571515798568726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.388701856136322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12817421555519104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671666","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320325353","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1964884769","https://openalex.org/W1992992668","https://openalex.org/W2100470808","https://openalex.org/W2112553126","https://openalex.org/W2141303268","https://openalex.org/W2153760331","https://openalex.org/W2156777442","https://openalex.org/W2214871046","https://openalex.org/W2325835689","https://openalex.org/W2342491128","https://openalex.org/W2403333215","https://openalex.org/W2518666399","https://openalex.org/W2789646185","https://openalex.org/W2896535068","https://openalex.org/W2904945062","https://openalex.org/W2954275231","https://openalex.org/W2961348656","https://openalex.org/W2963334022","https://openalex.org/W2963426332","https://openalex.org/W2963529609","https://openalex.org/W2963834057","https://openalex.org/W2963868681","https://openalex.org/W2964429685","https://openalex.org/W2964700958","https://openalex.org/W2972640707","https://openalex.org/W2981680738","https://openalex.org/W2987701848","https://openalex.org/W2991366018","https://openalex.org/W2994528761","https://openalex.org/W2997788879","https://openalex.org/W2998449272","https://openalex.org/W3034915791","https://openalex.org/W3035666869","https://openalex.org/W3039991645","https://openalex.org/W3093534379","https://openalex.org/W3096289386","https://openalex.org/W3097053213","https://openalex.org/W3101633331","https://openalex.org/W3105290831","https://openalex.org/W3122006940","https://openalex.org/W3174178235","https://openalex.org/W3205387145","https://openalex.org/W4288359875","https://openalex.org/W4295312788","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6762196805","https://openalex.org/W6766978945","https://openalex.org/W6767856356","https://openalex.org/W6774514524","https://openalex.org/W6777193267","https://openalex.org/W6785161788","https://openalex.org/W6785582761","https://openalex.org/W6788627440","https://openalex.org/W6803171083"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2545348020","https://openalex.org/W2912751582"],"abstract_inverted_index":{"Co-salient":[0],"object":[1],"detection":[2],"is":[3,178,187],"a":[4,63,89,110,124,173],"challenging":[5,191],"task,":[6,25],"which":[7,75],"aims":[8],"to":[9,34,80,95,128,151,167,180],"segment":[10],"the":[11,19,55,77,82,97,105,133,140],"co-occurring":[12],"salient":[13,37],"objects":[14,49,102],"in":[15,50],"multiple":[16,43],"images":[17,52,113],"at":[18],"same":[20,56],"time.":[21],"To":[22],"address":[23],"this":[24],"we":[26,60,87,122],"propose":[27,62],"an":[28],"end-to-end":[29],"Enhancement":[30],"Location-Refinement":[31],"Network":[32],"(ELR-Net)":[33],"capture":[35,96],"both":[36],"and":[38,70,91,120,146,171,196,206],"repetitive":[39],"visual":[40],"patterns":[41],"from":[42,109],"images.":[44],"For":[45],"various":[46],"scenarios,":[47],"common":[48,83,98],"different":[51,157],"only":[53],"have":[54],"semantic":[57,84,144],"information,":[58],"so":[59],"first":[61],"deep":[64],"co-salient":[65,101,134],"method":[66],"based":[67],"on":[68,132,189],"channel":[69],"spatial":[71],"attention":[72,78],"module":[73,118,126,176],"(CASM),":[74],"combines":[76],"mechanism":[79],"enhance":[81],"information.":[85],"Subsequently,":[86],"employ":[88],"Co-attention":[90],"Refinement":[92],"Module":[93],"(CARM)":[94],"attributes":[99],"of":[100,112],"by":[103],"learning":[104],"features":[106],"consensus":[107],"representation":[108],"group":[111,116],"using":[114],"our":[115,149,200],"affinity":[117],"(GAM)":[119],"then":[121,172],"develop":[123],"self-correlation":[125],"(SCM)":[127],"further":[129,147],"fine-grained":[130],"information":[131],"regions.":[135],"Specifically,":[136],"SCM":[137],"can":[138],"maintain":[139],"feature":[141],"independence":[142],"upon":[143],"categories":[145],"help":[148],"model":[150],"distinguish":[152],"pixels":[153],"with":[154],"similar":[155],"but":[156],"categories.":[158],"Moreover,":[159],"single":[160],"image":[161],"saliency":[162],"maps":[163],"(SISMs)":[164],"are":[165],"predicted":[166],"extract":[168,181],"intra-saliency":[169],"cues,":[170],"correlation":[174],"fusion":[175],"(CFM)":[177],"employed":[179],"inter-saliency":[182],"cues.":[183],"The":[184],"proposed":[185],"ELR-Net":[186,201],"evaluated":[188],"three":[190],"benchmarks,":[192],"i.e.,":[193],"CoSal2015,":[194],"CoSOD3k,":[195],"CoCA,":[197],"demonstrate":[198],"that":[199],"outperforms":[202],"9":[203],"cutting-edge":[204],"models":[205],"achieves":[207],"state-of-the-art":[208],"performance.":[209]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}