{"id":"https://openalex.org/W2744876417","doi":"https://doi.org/10.1109/tip.2017.2738839","title":"Salient Region Detection Using Diffusion Process on a Two-Layer Sparse Graph","display_name":"Salient Region Detection Using Diffusion Process on a Two-Layer Sparse Graph","publication_year":2017,"publication_date":"2017-08-11","ids":{"openalex":"https://openalex.org/W2744876417","doi":"https://doi.org/10.1109/tip.2017.2738839","mag":"2744876417","pmid":"https://pubmed.ncbi.nlm.nih.gov/28809686"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2738839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2738839","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/A5100742873","display_name":"Li Zhou","orcid":"https://orcid.org/0000-0001-8554-0900"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li Zhou","raw_affiliation_strings":["Naval Academy of Armament, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Naval Academy of Armament, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000095574","display_name":"Zhaohui Yang","orcid":"https://orcid.org/0000-0003-1105-8841"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaohui Yang","raw_affiliation_strings":["Naval Academy of Armament, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Naval Academy of Armament, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101250905","display_name":"Zongtan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongtan Zhou","raw_affiliation_strings":["Department of Automatic Control, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071074935","display_name":"Dewen Hu","orcid":"https://orcid.org/0000-0001-7357-0053"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewen Hu","raw_affiliation_strings":["Department of Automatic Control, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100742873"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4032,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.93688629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"26","issue":"12","first_page":"5882","last_page":"5894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9944000244140625,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9631999731063843,"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/computer-science","display_name":"Computer science","score":0.6245733499526978},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6241527795791626},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6016735434532166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5560396313667297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4347582161426544},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4275229871273041},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37707239389419556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3759986460208893},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18290024995803833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245733499526978},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6241527795791626},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6016735434532166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5560396313667297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4347582161426544},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4275229871273041},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37707239389419556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3759986460208893},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18290024995803833},{"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.2017.2738839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2738839","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:28809686","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28809686","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":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5047764759","display_name":null,"funder_award_id":"61502519","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6526439531","display_name":null,"funder_award_id":"2013CB329401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6643462189","display_name":null,"funder_award_id":"61375034","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1581590495","https://openalex.org/W1592631677","https://openalex.org/W1772076007","https://openalex.org/W1894057436","https://openalex.org/W1897243830","https://openalex.org/W1903001680","https://openalex.org/W1923594904","https://openalex.org/W1947031653","https://openalex.org/W1967125100","https://openalex.org/W1981228217","https://openalex.org/W1982075130","https://openalex.org/W1985984012","https://openalex.org/W1996326832","https://openalex.org/W2002574940","https://openalex.org/W2002781701","https://openalex.org/W2020236530","https://openalex.org/W2024713411","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2044113068","https://openalex.org/W2047670868","https://openalex.org/W2048180049","https://openalex.org/W2050023614","https://openalex.org/W2066624635","https://openalex.org/W2097878628","https://openalex.org/W2098702446","https://openalex.org/W2100470808","https://openalex.org/W2118246710","https://openalex.org/W2127707449","https://openalex.org/W2127807804","https://openalex.org/W2128272608","https://openalex.org/W2128340050","https://openalex.org/W2128446554","https://openalex.org/W2129933262","https://openalex.org/W2130502991","https://openalex.org/W2131297486","https://openalex.org/W2133858838","https://openalex.org/W2135957164","https://openalex.org/W2146103513","https://openalex.org/W2157487943","https://openalex.org/W2159772167","https://openalex.org/W2164084182","https://openalex.org/W2166650627","https://openalex.org/W2201780148","https://openalex.org/W2211996548","https://openalex.org/W2342491128","https://openalex.org/W2344340558","https://openalex.org/W2358876993","https://openalex.org/W2518599539","https://openalex.org/W3104979525","https://openalex.org/W4239147634","https://openalex.org/W6600850345","https://openalex.org/W6639359414","https://openalex.org/W6639624585","https://openalex.org/W6640351089","https://openalex.org/W6651042577","https://openalex.org/W6679401573","https://openalex.org/W6679570432","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2329500892","https://openalex.org/W2130974462","https://openalex.org/W2051487156","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2293263892"],"abstract_inverted_index":{"Diffusion-based":[0],"salient":[1,125],"region":[2],"detection":[3],"has":[4],"recently":[5],"received":[6],"intense":[7],"research":[8],"attention.":[9],"In":[10],"this":[11],"paper,":[12],"we":[13,36,91,133,164,174],"present":[14],"some":[15],"effective":[16],"improvements":[17],"concerning":[18],"two":[19,135,160],"important":[20],"aspects":[21],"of":[22,27,96,203],"diffusion-based":[23,161],"methods:":[24],"the":[25,28,32,54,68,93,101,107,120,129,140,153,166,196],"construction":[26],"diffusion":[29,156],"matrix":[30],"and":[31,53,142,146,192],"seed":[33,102,144],"vector.":[34],"First,":[35],"construct":[37],"a":[38],"two-layer":[39,72],"sparse":[40],"graph,":[41,74],"which":[42,173],"is":[43],"generated":[44],"by":[45],"connecting":[46],"each":[47],"node":[48,57],"to":[49,99],"its":[50,63],"neighboring":[51,64],"nodes":[52],"most":[55,69],"similar":[56],"that":[58,195],"shares":[59],"common":[60],"boundaries":[61],"with":[62,67,106,178],"nodes.":[65,89],"Compared":[66],"frequently":[70],"used":[71],"neighborhood":[73],"our":[75,112,176],"graph":[76],"not":[77],"only":[78],"effectively":[79],"uses":[80],"local":[81],"spatial":[82,94],"relationships,":[83],"but":[84],"also":[85],"removes":[86],"dissimilar":[87],"redundant":[88],"Second,":[90],"use":[92],"variance":[95],"superpixel":[97],"clusters":[98],"obtain":[100,165],"vector":[103],"and,":[104],"compared":[105],"previously":[108],"most-used":[109],"boundary":[110],"prior,":[111],"approach":[113],"can":[114],"better":[115,200],"distinguish":[116],"saliency":[117,137,141,162,168],"seeds":[118],"from":[119],"background":[121,143],"seeds,":[122],"especially":[123],"when":[124],"objects":[126],"appear":[127],"near":[128],"image":[130],"boundaries.":[131],"Finally,":[132],"calculate":[134],"preliminary":[136],"maps":[138],"using":[139,152],"vectors,":[145],"more":[147],"accurate":[148],"results":[149],"are":[150],"obtained":[151],"manifold":[154],"ranking":[155],"method.":[157],"Integrating":[158],"these":[159],"maps,":[163],"final":[167],"map.":[169],"Extensive":[170],"experiments":[171],"in":[172,201],"compare":[175],"method":[177,198],"20":[179],"existing":[180],"state-of-the-art":[181],"methods":[182],"on":[183],"five":[184],"benchmark":[185],"data":[186],"sets:":[187],"ASD,":[188],"DUT-OMRON,":[189],"ECSSD,":[190],"MSRA5K,":[191],"MSRA10K,":[193],"show":[194],"proposed":[197],"performs":[199],"terms":[202],"various":[204],"evaluation":[205],"metrics.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}