{"id":"https://openalex.org/W2160613239","doi":"https://doi.org/10.1007/s41095-019-0149-9","title":"Salient object detection: A survey","display_name":"Salient object detection: A survey","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2160613239","doi":"https://doi.org/10.1007/s41095-019-0149-9","mag":"2160613239"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-019-0149-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-019-0149-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-019-0149-9.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-019-0149-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ali Borji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Borji","raw_affiliation_strings":["MarkableAI, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MarkableAI, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ming-Ming Cheng","orcid":null},"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":"Ming-Ming Cheng","raw_affiliation_strings":["TKLNDST, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKLNDST, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qibin Hou","orcid":null},"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":"Qibin Hou","raw_affiliation_strings":["TKLNDST, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TKLNDST, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Huaizu Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huaizu Jiang","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jia Li","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":28.2175,"has_fulltext":true,"cited_by_count":502,"citation_normalized_percentile":{"value":0.99833695,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"5","issue":"2","first_page":"117","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9927999973297119,"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":0.9927999973297119,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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","display_name":"Salient","score":0.9366000294685364},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6240000128746033},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5619000196456909},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5210999846458435},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4246000051498413},{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.42410001158714294},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.36640000343322754}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.9366000294685364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462000250816345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.705299973487854},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6240000128746033},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5619000196456909},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5210999846458435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4316999912261963},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.42410001158714294},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.36640000343322754},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3474000096321106},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.3393999934196472},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2906999886035919},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.258899986743927}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s41095-019-0149-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-019-0149-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-019-0149-9.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1411.5878","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1411.5878","pdf_url":"https://arxiv.org/pdf/1411.5878","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"pmh:oai:doaj.org/article:44f9080fc64541e2afbfec5662119756","is_oa":false,"landing_page_url":"https://doaj.org/article/44f9080fc64541e2afbfec5662119756","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 5, Iss 2, Pp 117-150 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41095-019-0149-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-019-0149-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-019-0149-9.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2160613239.pdf","grobid_xml":"https://content.openalex.org/works/W2160613239.grobid-xml"},"referenced_works_count":97,"referenced_works":["https://openalex.org/W774034202","https://openalex.org/W1473786217","https://openalex.org/W1493160505","https://openalex.org/W1493215903","https://openalex.org/W1508686244","https://openalex.org/W1772076007","https://openalex.org/W1958328135","https://openalex.org/W1964772475","https://openalex.org/W1965301399","https://openalex.org/W1969258103","https://openalex.org/W1986533012","https://openalex.org/W1991649984","https://openalex.org/W1992992668","https://openalex.org/W1994658111","https://openalex.org/W1996326832","https://openalex.org/W1999478155","https://openalex.org/W2007571554","https://openalex.org/W2011468011","https://openalex.org/W2011900468","https://openalex.org/W2027179862","https://openalex.org/W2028327943","https://openalex.org/W2032007016","https://openalex.org/W2032256331","https://openalex.org/W2034500092","https://openalex.org/W2038913936","https://openalex.org/W2040132116","https://openalex.org/W2040253108","https://openalex.org/W2041719651","https://openalex.org/W2046715600","https://openalex.org/W2046863527","https://openalex.org/W2052086995","https://openalex.org/W2055136526","https://openalex.org/W2055180303","https://openalex.org/W2059952380","https://openalex.org/W2063093722","https://openalex.org/W2064365034","https://openalex.org/W2067191022","https://openalex.org/W2070173541","https://openalex.org/W2070922051","https://openalex.org/W2071329617","https://openalex.org/W2072725829","https://openalex.org/W2080933812","https://openalex.org/W2081357526","https://openalex.org/W2087100776","https://openalex.org/W2088049833","https://openalex.org/W2094053047","https://openalex.org/W2094655915","https://openalex.org/W2095588707","https://openalex.org/W2098702446","https://openalex.org/W2101821987","https://openalex.org/W2109937319","https://openalex.org/W2110158442","https://openalex.org/W2112553126","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2119823327","https://openalex.org/W2121947440","https://openalex.org/W2124351162","https://openalex.org/W2125446738","https://openalex.org/W2126532873","https://openalex.org/W2128272608","https://openalex.org/W2129259959","https://openalex.org/W2130184867","https://openalex.org/W2133665775","https://openalex.org/W2136704614","https://openalex.org/W2147347517","https://openalex.org/W2149095485","https://openalex.org/W2152233525","https://openalex.org/W2159772167","https://openalex.org/W2164084182","https://openalex.org/W2165810558","https://openalex.org/W2165826763","https://openalex.org/W2168356304","https://openalex.org/W2177347332","https://openalex.org/W2270657321","https://openalex.org/W2294819727","https://openalex.org/W2412782625","https://openalex.org/W2526468814","https://openalex.org/W2560619664","https://openalex.org/W2604738573","https://openalex.org/W2618530766","https://openalex.org/W2623012778","https://openalex.org/W2623660146","https://openalex.org/W2741745116","https://openalex.org/W2911293880","https://openalex.org/W2912034700","https://openalex.org/W2912238929","https://openalex.org/W2913593540","https://openalex.org/W2915043960","https://openalex.org/W3137241515","https://openalex.org/W4229971152","https://openalex.org/W4234552385","https://openalex.org/W4239147634","https://openalex.org/W4248927948","https://openalex.org/W6667352130"],"related_works":[],"abstract_inverted_index":{"Detecting":[0],"and":[1,28,38,56,73,87,92,96,99,115,121],"segmenting":[2],"salient":[3,12,53,103],"objects":[4],"from":[5],"natural":[6],"scenes,":[7],"often":[8],"referred":[9],"to":[10,44],"as":[11,66,112],"object":[13,54,70,104],"detection,":[14],"has":[15],"attracted":[16],"great":[17],"interest":[18],"in":[19,52,118],"computer":[20],"vision.":[21],"While":[22],"many":[23],"models":[24],"have":[25,31],"been":[26],"proposed":[27],"several":[29],"applications":[30],"emerged,":[32],"a":[33,46],"deep":[34],"understanding":[35],"of":[36,49],"achievements":[37],"issues":[39],"remains":[40],"lacking.":[41],"We":[42,106],"aim":[43],"provide":[45],"comprehensive":[47],"review":[48],"recent":[50],"progress":[51],"detection":[55],"situate":[57],"this":[58],"field":[59],"among":[60],"other":[61],"closely":[62],"related":[63],"areas":[64],"such":[65,111],"generic":[67],"scene":[68],"segmentation,":[69],"proposal":[71],"generation,":[72],"saliency":[74],"for":[75,102],"fixation":[76],"prediction.":[77],"Covering":[78],"228":[79],"publications,":[80],"we":[81],"survey":[82],"i)":[83],"roots,":[84],"key":[85],"concepts,":[86],"tasks,":[88],"ii)":[89],"core":[90],"techniques":[91],"main":[93],"modeling":[94],"trends,":[95],"iii)":[97],"datasets":[98],"evaluation":[100,113],"metrics":[101,114],"detection.":[105],"also":[107],"discuss":[108],"open":[109],"problems":[110],"dataset":[116],"bias":[117],"model":[119],"performance,":[120],"suggest":[122],"future":[123],"research":[124],"directions.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":77},{"year":2024,"cited_by_count":76},{"year":2023,"cited_by_count":80},{"year":2022,"cited_by_count":88},{"year":2021,"cited_by_count":85},{"year":2020,"cited_by_count":68},{"year":2019,"cited_by_count":7}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2016-06-24T00:00:00"}
