{"id":"https://openalex.org/W2552652233","doi":"https://doi.org/10.1109/tip.2016.2627804","title":"Co-Bootstrapping Saliency","display_name":"Co-Bootstrapping Saliency","publication_year":2016,"publication_date":"2016-11-11","ids":{"openalex":"https://openalex.org/W2552652233","doi":"https://doi.org/10.1109/tip.2016.2627804","mag":"2552652233","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113932"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2627804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2627804","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,"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"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423530","display_name":"Xiaoning Zhang","orcid":"https://orcid.org/0000-0002-7525-553X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091365634","display_name":"Jinqing Qi","orcid":"https://orcid.org/0000-0002-3777-2405"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqing Qi","raw_affiliation_strings":["School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054062342","display_name":"Na Tong","orcid":"https://orcid.org/0000-0002-8288-7930"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Tong","raw_affiliation_strings":["School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015967560","display_name":"Xiang Ruan","orcid":"https://orcid.org/0000-0003-4500-7516"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang Ruan","raw_affiliation_strings":["Tiwaki Company, Kusatsu, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Tiwaki Company, Kusatsu, Shiga, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Hsuan Yang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California at Merced, Merced, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California at Merced, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006986293"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":3.1731,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94856261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":"1","first_page":"414","last_page":"425"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9891999959945679,"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":0.9828000068664551,"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/bootstrapping","display_name":"Bootstrapping (finance)","score":0.7872884273529053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7024829983711243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6920900940895081},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.6460782289505005},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6028167009353638},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5720236301422119},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5083789229393005},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.46841898560523987},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4624178111553192},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.457994282245636},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.329067587852478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22881484031677246},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.14356884360313416}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.7872884273529053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7024829983711243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920900940895081},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.6460782289505005},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6028167009353638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5720236301422119},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5083789229393005},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.46841898560523987},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4624178111553192},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.457994282245636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.329067587852478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22881484031677246},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.14356884360313416},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2016.2627804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2627804","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,"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:28113932","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113932","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,"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":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4421075612","display_name":null,"funder_award_id":"61528101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5669947928","display_name":null,"funder_award_id":"61472060","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W625543958","https://openalex.org/W1593956231","https://openalex.org/W1719407190","https://openalex.org/W1876673668","https://openalex.org/W1894057436","https://openalex.org/W1897243830","https://openalex.org/W1918837316","https://openalex.org/W1942214758","https://openalex.org/W1947031653","https://openalex.org/W1965301399","https://openalex.org/W1966822461","https://openalex.org/W1981228217","https://openalex.org/W1982075130","https://openalex.org/W1993939318","https://openalex.org/W2002574940","https://openalex.org/W2002781701","https://openalex.org/W2031823405","https://openalex.org/W2036973297","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2039429895","https://openalex.org/W2047670868","https://openalex.org/W2065985528","https://openalex.org/W2086791339","https://openalex.org/W2097878628","https://openalex.org/W2100470808","https://openalex.org/W2101309634","https://openalex.org/W2104102555","https://openalex.org/W2105454024","https://openalex.org/W2113137767","https://openalex.org/W2125378844","https://openalex.org/W2127707449","https://openalex.org/W2127983178","https://openalex.org/W2128254161","https://openalex.org/W2128272608","https://openalex.org/W2128340050","https://openalex.org/W2130502991","https://openalex.org/W2133589685","https://openalex.org/W2133858838","https://openalex.org/W2135957164","https://openalex.org/W2143516773","https://openalex.org/W2146103513","https://openalex.org/W2147347517","https://openalex.org/W2156777442","https://openalex.org/W2157554677","https://openalex.org/W2159772167","https://openalex.org/W2160956336","https://openalex.org/W2161185676","https://openalex.org/W2163352848","https://openalex.org/W2166650627","https://openalex.org/W2171378720","https://openalex.org/W2211996548","https://openalex.org/W2213123247","https://openalex.org/W2403333215","https://openalex.org/W2518770889","https://openalex.org/W2518921892","https://openalex.org/W2519528544","https://openalex.org/W2567978322","https://openalex.org/W3103757879","https://openalex.org/W4239147634","https://openalex.org/W6639341293","https://openalex.org/W6639359414","https://openalex.org/W6639624585","https://openalex.org/W6651042577","https://openalex.org/W6659502896","https://openalex.org/W6660263164","https://openalex.org/W6679401573","https://openalex.org/W6679570432","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2103241481","https://openalex.org/W1933625030","https://openalex.org/W2035749286","https://openalex.org/W2363993642","https://openalex.org/W2756983286","https://openalex.org/W2536452361","https://openalex.org/W2609028322","https://openalex.org/W2071139217","https://openalex.org/W2951109249","https://openalex.org/W2091140892"],"abstract_inverted_index":{"In":[0,39],"this":[1,40,78],"paper,":[2],"we":[3,145],"propose":[4,146],"a":[5,19,58,62,147,170],"visual":[6],"saliency":[7,16,35,51,99,120,142,156,162],"detection":[8,96],"algorithm":[9,133,183],"to":[10,46,80,158],"explore":[11],"the":[12,69,73,83,95,113,116,127,131,138,152,160,166,181,185],"fusion":[13],"of":[14,21,101,115,130,140,154],"various":[15],"models":[17],"in":[18,88],"manner":[20],"bootstrap":[22],"learning.":[23],"First,":[24],"an":[25,48,89],"original":[26,49,123],"bootstrapping":[27],"model,":[28,41,52],"which":[29,53,150],"combines":[30],"both":[31],"weak":[32,50,74,102,117,141,161],"and":[33,85,103,118,168],"strong":[34,59,63,104,119],"models,":[36],"is":[37,65,112,134],"constructed.":[38],"image":[42],"priors":[43],"are":[44,106],"exploited":[45],"generate":[47],"provides":[54],"training":[55],"samples":[56,70],"for":[57],"model.":[60,75,143],"Then,":[61],"classifier":[64,79],"learned":[66],"based":[67],"on":[68,175],"extracted":[71],"from":[72],"We":[76],"use":[77],"classify":[81],"all":[82],"salient":[84],"non-salient":[86],"superpixels":[87],"input":[90],"image.":[91],"To":[92],"further":[93],"improve":[94],"performance,":[97],"multi-scale":[98],"maps":[100],"model":[105,124,163],"integrated,":[107],"respectively.":[108],"The":[109,122],"final":[110],"result":[111],"combination":[114],"maps.":[121],"indicates":[125],"that":[126,180],"overall":[128],"performance":[129],"proposed":[132,182],"largely":[135],"affected":[136],"by":[137],"quality":[139],"Therefore,":[144],"co-bootstrapping":[148],"mechanism,":[149],"integrates":[151],"advantages":[153],"different":[155],"methods":[157],"construct":[159],"thus":[164],"addresses":[165],"problem":[167],"achieves":[169],"better":[171],"performance.":[172],"Extensive":[173],"experiments":[174],"benchmark":[176],"data":[177],"sets":[178],"demonstrate":[179],"outperforms":[184],"state-of-the-art":[186],"methods.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}