{"id":"https://openalex.org/W2794380325","doi":"https://doi.org/10.1109/spac.2017.8304274","title":"Hierarchical learning for salient object detection","display_name":"Hierarchical learning for salient object detection","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2794380325","doi":"https://doi.org/10.1109/spac.2017.8304274","mag":"2794380325"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2017.8304274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304274","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-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/A5031064868","display_name":"Qi Zheng","orcid":"https://orcid.org/0000-0002-4351-9537"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Zheng","raw_affiliation_strings":["Research Institute of Huazhong University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Huazhong University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364062","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-9428-9340"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057095711","display_name":"Xinge You","orcid":"https://orcid.org/0009-0006-1450-9504"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinge You","raw_affiliation_strings":["Research Institute of Huazhong University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Huazhong University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066279337","display_name":"Fangzhao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzhao Wang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023316427","display_name":"Zida Liu","orcid":"https://orcid.org/0000-0003-3128-1151"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zida Liu","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031064868"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.197,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60985507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"197"},"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":0.991100013256073,"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":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7498124241828918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7242920398712158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6566821336746216},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6191648244857788},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.609822154045105},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5743942856788635},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5134471654891968},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43541571497917175},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4164767861366272},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3556225895881653}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7498124241828918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242920398712158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6566821336746216},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6191648244857788},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.609822154045105},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5743942856788635},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5134471654891968},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43541571497917175},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4164767861366272},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3556225895881653},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2017.8304274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304274","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1982075130","https://openalex.org/W1982554717","https://openalex.org/W1997201895","https://openalex.org/W2002781701","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2041719651","https://openalex.org/W2047028564","https://openalex.org/W2047670868","https://openalex.org/W2070173541","https://openalex.org/W2087100776","https://openalex.org/W2100470808","https://openalex.org/W2104102555","https://openalex.org/W2114542651","https://openalex.org/W2122076510","https://openalex.org/W2128340050","https://openalex.org/W2131628350","https://openalex.org/W2132914434","https://openalex.org/W2142470670","https://openalex.org/W2146103513","https://openalex.org/W2156686129","https://openalex.org/W2160398355","https://openalex.org/W2161185676","https://openalex.org/W2298605637","https://openalex.org/W2327699058","https://openalex.org/W2346506533","https://openalex.org/W2400262625","https://openalex.org/W2470270897","https://openalex.org/W2507470109","https://openalex.org/W2568078565","https://openalex.org/W2612893250","https://openalex.org/W2725281289","https://openalex.org/W2951085447","https://openalex.org/W4234173777","https://openalex.org/W4239147634","https://openalex.org/W6675164516","https://openalex.org/W6679973066"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2545348020","https://openalex.org/W2912751582"],"abstract_inverted_index":{"Most":[0],"existing":[1],"methods":[2],"for":[3,28],"salient":[4],"object":[5],"detection":[6],"either":[7],"depend":[8],"on":[9,52,101],"simple":[10],"feature,":[11],"such":[12],"as":[13,81],"contrast":[14],"or":[15,24],"boundary":[16],"prior,":[17],"which":[18,30,74],"is":[19,31,50,66,90],"sensitive":[20],"to":[21,42,68,83,92],"background":[22],"variety,":[23],"extract":[25],"redundant":[26],"features":[27],"robustness,":[29],"time-consuming.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"a":[38,85],"hierarchical":[39,48],"learning":[40,49,58],"structure":[41],"alleviate":[43],"the":[44,94,118],"demanding":[45],"feature.":[46],"The":[47,88],"based":[51],"low-rank":[53],"(LR)":[54],"decomposition":[55],"and":[56,78,107],"broad":[57],"system":[59],"(BLS).":[60],"LR":[61],"model":[62],"with":[63,117],"Laplacian":[64],"constraint":[65],"applied":[67],"roughly":[69],"separate":[70],"foreground":[71],"from":[72],"background,":[73],"produces":[75],"several":[76],"positive":[77],"negative":[79],"super-pixels":[80],"example":[82],"train":[84],"BLS":[86],"classifier.":[87],"classifier":[89],"used":[91],"determine":[93],"final":[95],"saliency":[96],"of":[97],"each":[98],"superpixel.":[99],"Experiments":[100],"two":[102],"public":[103],"datasets":[104],"including":[105],"MSRA10K":[106],"ECSSD":[108],"show":[109],"that":[110],"our":[111],"method":[112],"achieves":[113],"state-of-the-art":[114],"result":[115],"compared":[116],"other":[119],"nine":[120],"methods.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}