{"id":"https://openalex.org/W3202201260","doi":"https://doi.org/10.1109/tmm.2021.3115344","title":"Boundary Information Progressive Guidance Network for Salient Object Detection","display_name":"Boundary Information Progressive Guidance Network for Salient Object Detection","publication_year":2021,"publication_date":"2021-09-27","ids":{"openalex":"https://openalex.org/W3202201260","doi":"https://doi.org/10.1109/tmm.2021.3115344","mag":"3202201260"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3115344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3115344","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},"type":"article","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/A5003702543","display_name":"Zhaojian Yao","orcid":"https://orcid.org/0000-0001-5259-5286"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaojian Yao","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748064","display_name":"Luping Wang","orcid":"https://orcid.org/0000-0003-4119-4799"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luping Wang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003702543"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.942,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88277589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"4236","last_page":"4249"},"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":0.9954000115394592,"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":0.9878000020980835,"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/boundary","display_name":"Boundary (topology)","score":0.8187663555145264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7911601662635803},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6904518604278564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6133885383605957},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5609367489814758},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5258470177650452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.516834557056427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4800597131252289},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45646727085113525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36129170656204224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14869755506515503}],"concepts":[{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.8187663555145264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911601662635803},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6904518604278564},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6133885383605957},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5609367489814758},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5258470177650452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516834557056427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4800597131252289},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45646727085113525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36129170656204224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14869755506515503},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3115344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3115344","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1772076007","https://openalex.org/W1894057436","https://openalex.org/W1994922096","https://openalex.org/W2002781701","https://openalex.org/W2039313011","https://openalex.org/W2086791339","https://openalex.org/W2100470808","https://openalex.org/W2131297486","https://openalex.org/W2159772167","https://openalex.org/W2160613239","https://openalex.org/W2161236525","https://openalex.org/W2166650627","https://openalex.org/W2194775991","https://openalex.org/W2486722903","https://openalex.org/W2549139847","https://openalex.org/W2585592883","https://openalex.org/W2606302360","https://openalex.org/W2740667773","https://openalex.org/W2744613561","https://openalex.org/W2757028014","https://openalex.org/W2788154928","https://openalex.org/W2798807298","https://openalex.org/W2799074129","https://openalex.org/W2799907879","https://openalex.org/W2804743778","https://openalex.org/W2805199679","https://openalex.org/W2807746031","https://openalex.org/W2884944276","https://openalex.org/W2903398871","https://openalex.org/W2928165649","https://openalex.org/W2938260698","https://openalex.org/W2939217524","https://openalex.org/W2948500402","https://openalex.org/W2948510860","https://openalex.org/W2955060956","https://openalex.org/W2961348656","https://openalex.org/W2962159375","https://openalex.org/W2962680827","https://openalex.org/W2963032190","https://openalex.org/W2963112696","https://openalex.org/W2963299740","https://openalex.org/W2963529609","https://openalex.org/W2963685207","https://openalex.org/W2963855133","https://openalex.org/W2963868681","https://openalex.org/W2965638232","https://openalex.org/W2968392770","https://openalex.org/W2980565715","https://openalex.org/W2986825110","https://openalex.org/W2987701848","https://openalex.org/W2990984982","https://openalex.org/W2997316506","https://openalex.org/W2998449272","https://openalex.org/W3002301267","https://openalex.org/W3034185160","https://openalex.org/W3035290198","https://openalex.org/W3035422681","https://openalex.org/W3097053213","https://openalex.org/W3098389804","https://openalex.org/W3107653507","https://openalex.org/W3107944836","https://openalex.org/W3109623941","https://openalex.org/W3148786143","https://openalex.org/W4239147634","https://openalex.org/W4250482878","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W2378211422","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W4321353415","https://openalex.org/W2329500892","https://openalex.org/W4309130263","https://openalex.org/W1951490636","https://openalex.org/W4310825146"],"abstract_inverted_index":{"In":[0,16,108,138],"recent":[1],"years,":[2],"the":[3,42,46,50,57,91,98,105,109,124,135,152,165,181],"use":[4,123],"of":[5,45,127,173],"boundary":[6,31,35,52,72,82,95,99,113,142,153],"information":[7,83,143,154],"in":[8,130,155],"saliency":[9,23,64,175],"detection":[10,65],"has":[11],"been":[12],"receiving":[13],"increasing":[14],"attention.":[15],"some":[17],"cases,":[18],"existing":[19],"methods":[20],"can":[21,190],"output":[22,174],"maps":[24],"with":[25],"clear":[26],"object":[27],"boundaries":[28],"by":[29,179],"learning":[30],"information.":[32],"However,":[33],"their":[34],"prediction":[36,43],"structures":[37],"are":[38,101,115],"generally":[39],"separated":[40],"from":[41,104],"branches":[44],"salient":[47,58,92,106,136],"regions,":[48],"and":[49,74,94,112],"resulting":[51],"features":[53,100,114,126,167],"may":[54],"not":[55],"match":[56],"objects.":[59,137],"We":[60,122,159],"propose":[61],"a":[62,81,140,156],"simple":[63],"unit":[66],"(SDU)":[67],"to":[68,79,118,164],"learn":[69],"more":[70],"accurate":[71],"features,":[73],"apply":[75,160],"multiple":[76,161],"such":[77],"units":[78],"construct":[80],"progressive":[84],"guidance":[85,144],"network":[86],"(BIPGNet).":[87],"The":[88,171],"SDU":[89,132],"cascades":[90],"region":[93],"detections,":[96],"where":[97],"directly":[102],"extracted":[103],"regions.":[107],"BIPGNet,":[110],"semantic":[111],"progressively":[116],"merged":[117],"produce":[119],"complementary":[120,125,166,182],"features.":[121,183],"each":[128],"stage":[129],"one":[131],"for":[133],"detecting":[134],"addition,":[139],"novel":[141],"(BIG)":[145],"module":[146],"is":[147,177,206],"designed":[148],"that":[149,187],"focuses":[150],"on":[151,194],"feature":[157],"layer.":[158],"BIG":[162],"modules":[163],"at":[168,209],"different":[169],"stages.":[170],"quality":[172],"map":[176],"improved":[178],"modifying":[180],"Experimental":[184],"results":[185],"demonstrate":[186],"our":[188],"method":[189],"achieve":[191],"better":[192],"performance":[193],"five":[195],"benchmark":[196],"datasets,":[197],"consistently":[198],"surpassing":[199],"15":[200],"state-of-the-art":[201],"methods.":[202],"Our":[203],"source":[204],"code":[205],"publicly":[207],"available":[208],"<uri":[210],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[211],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/CKYiu/BIPG</uri>":[212],".":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}