{"id":"https://openalex.org/W2963152757","doi":"https://doi.org/10.24963/ijcai.2018/160","title":"Salient Object Detection by Lossless Feature Reflection","display_name":"Salient Object Detection by Lossless Feature Reflection","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2963152757","doi":"https://doi.org/10.24963/ijcai.2018/160","mag":"2963152757"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/160","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/160","pdf_url":"https://www.ijcai.org/proceedings/2018/0160.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0160.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100451855","display_name":"Pingping Zhang","orcid":"https://orcid.org/0000-0003-1206-1444"},"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"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Pingping Zhang","raw_affiliation_strings":["Dalian University of Technology","University of Adelaide","Dalian University of Technology, Dalian, 116024, P.R. China","University of Adelaide, Adelaide, SA 5005, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"University of Adelaide","institution_ids":["https://openalex.org/I5681781"]},{"raw_affiliation_string":"Dalian University of Technology, Dalian, 116024, P.R. China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"University of Adelaide, Adelaide, SA 5005, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763568","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-6351-9019"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Shanghai Jiao Tong University","University of Adelaide","Shanghai Jiao Tong University, Shanghai, 200240, P.R. China","University of Adelaide, Adelaide, SA 5005, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"University of Adelaide","institution_ids":["https://openalex.org/I5681781"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, 200240, P.R. China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"University of Adelaide, Adelaide, SA 5005, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102749145","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0003-3162-1929"},"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":"Huchuan Lu","raw_affiliation_strings":["Dalian University of Technology","Dalian University of Technology, Dalian, 116024, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Dalian University of Technology, Dalian, 116024, P.R. China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006294869","display_name":"Chunhua Shen","orcid":"https://orcid.org/0000-0002-8648-8718"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Chunhua Shen","raw_affiliation_strings":["University of Adelaide","University of Adelaide, Adelaide, SA 5005, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Adelaide","institution_ids":["https://openalex.org/I5681781"]},{"raw_affiliation_string":"University of Adelaide, Adelaide, SA 5005, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006294869"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1149","last_page":"1155"},"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":0.9682999849319458,"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/T11094","display_name":"Face Recognition and Perception","score":0.9638000130653381,"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/salient","display_name":"Salient","score":0.818910539150238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8118798732757568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7367939949035645},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6756017804145813},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6243487596511841},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5491058826446533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5400055646896362},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.535027027130127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5083896517753601},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4970393478870392},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42784208059310913},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4215669631958008},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.41490858793258667},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.14113670587539673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09302219748497009}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.818910539150238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118798732757568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7367939949035645},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6756017804145813},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6243487596511841},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5491058826446533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5400055646896362},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.535027027130127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5083896517753601},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4970393478870392},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42784208059310913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4215669631958008},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.41490858793258667},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.14113670587539673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09302219748497009},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/160","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/160","pdf_url":"https://www.ijcai.org/proceedings/2018/0160.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/160","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/160","pdf_url":"https://www.ijcai.org/proceedings/2018/0160.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963152757.pdf","grobid_xml":"https://content.openalex.org/works/W2963152757.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1894057436","https://openalex.org/W1897243830","https://openalex.org/W1918837316","https://openalex.org/W1942214758","https://openalex.org/W1947031653","https://openalex.org/W2031489346","https://openalex.org/W2039313011","https://openalex.org/W2086791339","https://openalex.org/W2108598243","https://openalex.org/W2128340050","https://openalex.org/W2147347517","https://openalex.org/W2161185676","https://openalex.org/W2164847484","https://openalex.org/W2166916857","https://openalex.org/W2293332611","https://openalex.org/W2294182682","https://openalex.org/W2331128040","https://openalex.org/W2338972621","https://openalex.org/W2461475918","https://openalex.org/W2519528544","https://openalex.org/W2569272946","https://openalex.org/W2740667773","https://openalex.org/W2780708736","https://openalex.org/W2787737046","https://openalex.org/W2950094539","https://openalex.org/W2963032190","https://openalex.org/W2963868681","https://openalex.org/W2963906836","https://openalex.org/W3104979525","https://openalex.org/W4308909683"],"related_works":["https://openalex.org/W3106969033","https://openalex.org/W2329500892","https://openalex.org/W2186939576","https://openalex.org/W2357988910","https://openalex.org/W2948148442","https://openalex.org/W2377158164","https://openalex.org/W2187600494","https://openalex.org/W2114030128","https://openalex.org/W28991112","https://openalex.org/W2370726991"],"abstract_inverted_index":{"Salient":[0],"object":[1,63,129],"detection,":[2],"which":[3],"aims":[4],"to":[5,25,74,101,113,126],"identify":[6],"and":[7,21,92,131,164],"locate":[8],"the":[9,44,80,103,115,166],"most":[10],"salient":[11,62,96],"pixels":[12],"or":[13],"regions":[14],"in":[15,50],"images,":[16,49],"has":[17],"been":[18],"attracting":[19],"more":[20,22,107],"interest":[23],"due":[24],"its":[26],"various":[27],"real-world":[28],"applications.":[29],"However,":[30],"this":[31,51],"vision":[32],"task":[33],"is":[34],"quite":[35],"challenging,":[36],"especially":[37],"under":[38,79],"complex":[39],"image":[40],"scenes.":[41],"Inspired":[42],"by":[43,142],"intrinsic":[45],"reflection":[46],"of":[47,82,95],"natural":[48],"paper":[52],"we":[53,66,119],"propose":[54,120],"a":[55,68,121],"novel":[56],"feature":[57,84],"learning":[58],"framework":[59],"for":[60,106,146],"large-scale":[61],"detection.":[64],"Specifically,":[65],"design":[67],"symmetrical":[69],"fully":[70],"convolutional":[71],"network":[72,105],"(SFCN)":[73],"learn":[75,127],"complementary":[76],"saliency":[77,109,153],"features":[78],"guidance":[81],"lossless":[83],"reflection.":[85],"The":[86,135],"location":[87],"information,":[88,94],"together":[89],"with":[90],"contextual":[91],"semantic":[93],"objects":[97],"are":[98,139],"jointly":[99],"utilized":[100],"supervise":[102],"proposed":[104],"accurate":[108],"predictions.":[110],"In":[111],"addition,":[112],"overcome":[114],"blurry":[116],"boundary":[117],"problem,":[118],"new":[122],"structural":[123,144],"loss":[124],"function":[125],"clear":[128],"boundaries":[130],"spatially":[132],"consistent":[133],"saliency.":[134],"coarse":[136],"prediction":[137],"results":[138],"effectively":[140],"refined":[141],"these":[143],"information":[145],"performance":[147,163],"improvements.":[148],"Extensive":[149],"experiments":[150],"on":[151],"seven":[152],"detection":[154],"datasets":[155],"demonstrate":[156],"that":[157],"our":[158],"approach":[159],"achieves":[160],"consistently":[161],"superior":[162],"outperforms":[165],"very":[167],"recent":[168],"state-of-the-art":[169],"methods.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}