{"id":"https://openalex.org/W2130502991","doi":"https://doi.org/10.1109/iccv.2011.6126333","title":"Fusing generic objectness and visual saliency for salient object detection","display_name":"Fusing generic objectness and visual saliency for salient object detection","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2130502991","doi":"https://doi.org/10.1109/iccv.2011.6126333","mag":"2130502991"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","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/A5013837895","display_name":"Kai-Yueh Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Yueh Chang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan","Institute of Information Science, Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043386280","display_name":"Tyng-Luh Liu","orcid":"https://orcid.org/0000-0002-8366-5213"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tyng-Luh Liu","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037179146","display_name":"Hwann-Tzong Chen","orcid":"https://orcid.org/0000-0003-2806-7090"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hwann-Tzong Chen","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073849580","display_name":"Shang\u2010Hong Lai","orcid":"https://orcid.org/0000-0002-5092-993X"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shang-Hong Lai","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":357,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"914","last_page":"921"},"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"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/T11094","display_name":"Face Recognition and Perception","score":0.9717000126838684,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7632770538330078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7555075287818909},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7126399278640747},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5833778977394104},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.540441632270813},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.5374923348426819},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.528878927230835},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5172903537750244},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48860055208206177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46520406007766724},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4318923354148865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3507961630821228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3325694799423218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16613712906837463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632770538330078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7555075287818909},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7126399278640747},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5833778977394104},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.540441632270813},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.5374923348426819},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.528878927230835},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5172903537750244},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48860055208206177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46520406007766724},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4318923354148865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3507961630821228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3325694799423218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16613712906837463},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2011.6126333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.679.3863","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iis.sinica.edu.tw/papers/liutyng/12853-F.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1872412942","https://openalex.org/W1981228217","https://openalex.org/W1999478155","https://openalex.org/W2061376149","https://openalex.org/W2078132377","https://openalex.org/W2100470808","https://openalex.org/W2105454024","https://openalex.org/W2107055466","https://openalex.org/W2107363596","https://openalex.org/W2108082645","https://openalex.org/W2128272608","https://openalex.org/W2128715914","https://openalex.org/W2135957164","https://openalex.org/W2138015733","https://openalex.org/W2144764737","https://openalex.org/W2146103513","https://openalex.org/W2157554677","https://openalex.org/W2160978182","https://openalex.org/W2161502316","https://openalex.org/W2541843346","https://openalex.org/W4211165038","https://openalex.org/W6675628854","https://openalex.org/W6676006193","https://openalex.org/W6680437723","https://openalex.org/W6680460070","https://openalex.org/W6683908240","https://openalex.org/W6728942955"],"related_works":["https://openalex.org/W4390721878","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W1967391339","https://openalex.org/W2575602754","https://openalex.org/W3009179364","https://openalex.org/W2376243400","https://openalex.org/W2351778949","https://openalex.org/W2132649329","https://openalex.org/W150054742"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,37,53,136,143],"novel":[3,54],"computational":[4],"model":[5,39,97,132],"to":[6,40,75],"explore":[7],"the":[8,22,58,61,65,67,70,81,85,91,96,100,108,112,119,130],"relatedness":[9],"of":[10,15,24,102,139],"objectness":[11,103,146],"and":[12,45,69,80,142],"saliency,":[13,68],"each":[14],"which":[16],"plays":[17],"an":[18],"important":[19],"role":[20],"in":[21],"study":[23],"visual":[25],"attention.":[26],"The":[27],"proposed":[28,131],"framework":[29],"conceptually":[30],"integrates":[31],"these":[32],"two":[33,125],"concepts":[34],"via":[35],"constructing":[36],"graphical":[38],"account":[41],"for":[42,148],"their":[43,48,77],"relationships,":[44],"concurrently":[46],"improves":[47],"estimation":[49],"by":[50,87],"iteratively":[51],"optimizing":[52],"energy":[55,62,86],"function":[56,63],"realizing":[57],"model.":[59],"Specifically,":[60],"comprises":[64],"objectness,":[66],"interaction":[71,120],"energy,":[72],"respectively":[73],"corresponding":[74],"explain":[76],"individual":[78],"regularities":[79],"mutual":[82],"effects.":[83],"Minimizing":[84],"fixing":[88],"one":[89],"or":[90,104],"other":[92,113],"would":[93],"elegantly":[94],"transform":[95],"into":[98],"solving":[99],"problem":[101],"saliency":[105,137],"estimation,":[106],"while":[107],"useful":[109],"information":[110],"from":[111],"concept":[114],"can":[115,133],"be":[116],"utilized":[117],"through":[118],"term.":[121],"Experimental":[122],"results":[123],"on":[124],"benchmark":[126],"datasets":[127],"demonstrate":[128],"that":[129],"simultaneously":[134],"yield":[135],"map":[138],"better":[140],"quality":[141],"more":[144],"meaningful":[145],"output":[147],"salient":[149],"object":[150],"detection.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":34},{"year":2018,"cited_by_count":41},{"year":2017,"cited_by_count":63},{"year":2016,"cited_by_count":51},{"year":2015,"cited_by_count":55},{"year":2014,"cited_by_count":38},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}