{"id":"https://openalex.org/W3149623420","doi":"https://doi.org/10.1109/tcsvt.2021.3069848","title":"Exploring Dense Context for Salient Object Detection","display_name":"Exploring Dense Context for Salient Object Detection","publication_year":2021,"publication_date":"2021-03-30","ids":{"openalex":"https://openalex.org/W3149623420","doi":"https://doi.org/10.1109/tcsvt.2021.3069848","mag":"3149623420"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3069848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3069848","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5032626016","display_name":"Haiyang Mei","orcid":"https://orcid.org/0000-0003-3549-9684"},"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":"Haiyang Mei","raw_affiliation_strings":["Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-3549-9684","affiliations":[{"raw_affiliation_string":"Department 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/A5100753229","display_name":"Yuanyuan Liu","orcid":"https://orcid.org/0000-0001-9202-9676"},"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":"Yuanyuan Liu","raw_affiliation_strings":["Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department 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/A5079553918","display_name":"Ziqi Wei","orcid":"https://orcid.org/0000-0001-9402-8386"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Wei","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9402-8386","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055447805","display_name":"Dongsheng Zhou","orcid":"https://orcid.org/0000-0003-3414-9623"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Zhou","raw_affiliation_strings":["School of Software Engineering, Dalian University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-3414-9623","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003257736","display_name":"Xiaopeng Wei","orcid":"https://orcid.org/0000-0002-8497-611X"},"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":"Xiaopeng Wei","raw_affiliation_strings":["Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department 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/A5100381999","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0003-3776-9799"},"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":"Qiang Zhang","raw_affiliation_strings":["Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-3776-9799","affiliations":[{"raw_affiliation_string":"Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068792201","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0002-8046-722X"},"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":"Xin Yang","raw_affiliation_strings":["Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8046-722X","affiliations":[{"raw_affiliation_string":"Department of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.783,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.97377622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"32","issue":"3","first_page":"1378","last_page":"1389"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9767000079154968,"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/computer-science","display_name":"Computer science","score":0.8204619884490967},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7980401515960693},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7484979033470154},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5772551894187927},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5612998008728027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5602973103523254},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5273956656455994},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5153712630271912},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4357343316078186},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42464545369148254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34028372168540955},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3364613652229309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8204619884490967},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7980401515960693},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7484979033470154},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5772551894187927},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5612998008728027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602973103523254},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5273956656455994},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5153712630271912},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4357343316078186},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42464545369148254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34028372168540955},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3364613652229309},{"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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3069848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3069848","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1076249825","display_name":"\u9ad8\u901f\u4e14\u590d\u6742\u5149\u7167\u73af\u5883\u4e0b\u5efa\u7b51\u7269\u5185\u90e8\u573a\u666f\u89c6\u89c9\u5feb\u901f\u91cd\u5b9a\u4f4d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G39200951","display_name":null,"funder_award_id":"91748104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8552725528","display_name":null,"funder_award_id":"U1908214","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W32035320","https://openalex.org/W845365781","https://openalex.org/W1894057436","https://openalex.org/W1903029394","https://openalex.org/W1942214758","https://openalex.org/W1947031653","https://openalex.org/W1976977741","https://openalex.org/W2002781701","https://openalex.org/W2039313011","https://openalex.org/W2055180303","https://openalex.org/W2060095179","https://openalex.org/W2068194118","https://openalex.org/W2086791339","https://openalex.org/W2100470808","https://openalex.org/W2108598243","https://openalex.org/W2132083787","https://openalex.org/W2161236525","https://openalex.org/W2164084182","https://openalex.org/W2171378720","https://openalex.org/W2194775991","https://openalex.org/W2316226477","https://openalex.org/W2412782625","https://openalex.org/W2415535521","https://openalex.org/W2550553598","https://openalex.org/W2560023338","https://openalex.org/W2560468004","https://openalex.org/W2569272946","https://openalex.org/W2598666589","https://openalex.org/W2737258237","https://openalex.org/W2740667773","https://openalex.org/W2752782242","https://openalex.org/W2771617895","https://openalex.org/W2780861787","https://openalex.org/W2798791651","https://openalex.org/W2798825526","https://openalex.org/W2799074129","https://openalex.org/W2807746031","https://openalex.org/W2884555738","https://openalex.org/W2884585870","https://openalex.org/W2887181327","https://openalex.org/W2895251968","https://openalex.org/W2914107945","https://openalex.org/W2918123657","https://openalex.org/W2923601983","https://openalex.org/W2939217524","https://openalex.org/W2948500402","https://openalex.org/W2948510860","https://openalex.org/W2955058313","https://openalex.org/W2961348656","https://openalex.org/W2962159375","https://openalex.org/W2963032190","https://openalex.org/W2963091558","https://openalex.org/W2963112696","https://openalex.org/W2963446712","https://openalex.org/W2963450895","https://openalex.org/W2963604034","https://openalex.org/W2963685207","https://openalex.org/W2963706010","https://openalex.org/W2966572430","https://openalex.org/W2969435864","https://openalex.org/W2972515477","https://openalex.org/W2981510929","https://openalex.org/W2986825110","https://openalex.org/W3010722397","https://openalex.org/W3018276607","https://openalex.org/W3021972974","https://openalex.org/W3030079400","https://openalex.org/W3034855701","https://openalex.org/W3035290198","https://openalex.org/W3035422681","https://openalex.org/W3035618398","https://openalex.org/W3102699694","https://openalex.org/W4239147634","https://openalex.org/W6638480814","https://openalex.org/W6638992375","https://openalex.org/W6739901393","https://openalex.org/W6748053814","https://openalex.org/W6752237900","https://openalex.org/W6767114646"],"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":{"Contexts":[0],"play":[1],"an":[2,101,146,159],"important":[3],"role":[4],"in":[5,145],"salient":[6,28,45],"object":[7],"detection":[8,190],"(SOD).":[9],"High-level":[10],"contexts":[11,32,53,109,127,133,152],"describe":[12],"the":[13,24,35,41,44,48,84,131,136,167,171,184,193],"relations":[14],"between":[15],"different":[16,154],"parts/objects":[17],"and":[18,86,89,103,128],"thus":[19],"are":[20],"helpful":[21],"for":[22,39,110,174],"discovering":[23],"specific":[25],"locations":[26],"of":[27,43,50,153],"objects":[29],"while":[30],"low-level":[31],"could":[33],"provide":[34],"fine":[36],"detail":[37],"information":[38],"delineating":[40],"boundary":[42],"objects.":[46],"However,":[47],"way":[49,105],"perceiving/leveraging":[51],"rich":[52,108],"has":[54],"not":[55,82],"been":[56],"fully":[57],"investigated":[58],"by":[59],"existing":[60],"SOD":[61,200],"works.":[62],"The":[63],"common":[64],"context":[65,119,177],"extraction":[66],"strategies":[67],"(<i>e.g.</i>,":[68],"leveraging":[69],"convolutions":[70,76],"with":[71,77],"large":[72,78],"kernels":[73],"or":[74],"atrous":[75],"dilation":[79],"rates)":[80],"do":[81],"consider":[83],"effectiveness":[85],"efficiency":[87],"simultaneously":[88],"may":[90],"cause":[91],"sub-optimal":[92],"solutions.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97,114,140,157],"devote":[98],"to":[99,106,123,134,149,162,170],"exploring":[100],"effective":[102],"efficient":[104],"learn":[107],"accurate":[111],"SOD.":[112],"Specifically,":[113],"first":[115],"build":[116],"a":[117],"dense":[118,125,151,176],"exploration":[120],"(DCE)":[121],"module":[122],"capture":[124],"multi-scale":[126],"further":[129],"leverage":[130],"learned":[132],"enhance":[135],"features":[137,165],"discriminability.":[138],"Then,":[139],"embed":[141],"multiple":[142],"DCE":[143],"modules":[144],"encoder-decoder":[147],"architecture":[148],"harvest":[150],"levels.":[155],"Furthermore,":[156],"propose":[158],"attentive":[160],"skip-connection":[161],"transmit":[163],"useful":[164],"from":[166],"encoder":[168],"part":[169,173],"decoder":[172],"better":[175],"exploration.":[178],"Finally,":[179],"extensive":[180],"experiments":[181],"demonstrate":[182],"that":[183],"proposed":[185],"method":[186],"achieves":[187],"more":[188],"superior":[189],"results":[191],"on":[192],"six":[194],"benchmark":[195],"datasets":[196],"than":[197],"18":[198],"state-of-the-art":[199],"methods.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}