{"id":"https://openalex.org/W3098241816","doi":"https://doi.org/10.1109/lsp.2018.2875586","title":"Boundary-Guided Feature Aggregation Network for Salient Object Detection","display_name":"Boundary-Guided Feature Aggregation Network for Salient Object Detection","publication_year":2018,"publication_date":"2018-10-11","ids":{"openalex":"https://openalex.org/W3098241816","doi":"https://doi.org/10.1109/lsp.2018.2875586","mag":"3098241816"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2875586","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.10821","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048521072","display_name":"Yunzhi Zhuge","orcid":"https://orcid.org/0000-0002-4288-4516"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"funder","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhi Zhuge","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414816","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0001-9403-5818"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"funder","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","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":"funder","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingping Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"funder","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.017,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":45,"citation_normalized_percentile":{"value":0.99994,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"25","issue":"12","first_page":"1800","last_page":"1804"},"is_retracted":false,"is_paratext":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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9941,"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":0.9924,"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/feature","display_name":"Feature (linguistics)","score":0.654572},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5413565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74526715},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.724552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65517676},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.654572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.61778307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5807617},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5413565},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5390076},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5114671},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4919176},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46890628},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43482244},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41724667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37961242},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15854028},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2875586","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1809.10821","pdf_url":"https://arxiv.org/pdf/1809.10821","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.1809.10821","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1809.10821","pdf_url":"https://arxiv.org/pdf/1809.10821","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61725202"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"91538201"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61472060"}],"datasets":[],"versions":["https://openalex.org/W2894289735","https://openalex.org/W3098241816"],"referenced_works_count":39,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1772076007","https://openalex.org/W1894057436","https://openalex.org/W1897243830","https://openalex.org/W1903029394","https://openalex.org/W1918837316","https://openalex.org/W1947031653","https://openalex.org/W2017814585","https://openalex.org/W2038913936","https://openalex.org/W2039313011","https://openalex.org/W2100470808","https://openalex.org/W2108598243","https://openalex.org/W2128272608","https://openalex.org/W2145023731","https://openalex.org/W2147347517","https://openalex.org/W2161185676","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2293332611","https://openalex.org/W2338972621","https://openalex.org/W2461475918","https://openalex.org/W2470456807","https://openalex.org/W2519528544","https://openalex.org/W2550553598","https://openalex.org/W2563705555","https://openalex.org/W2618530766","https://openalex.org/W2740667773","https://openalex.org/W2744263836","https://openalex.org/W2744613561","https://openalex.org/W2788267636","https://openalex.org/W2949370174","https://openalex.org/W2950094539","https://openalex.org/W2950622378","https://openalex.org/W2963032190","https://openalex.org/W2963152757","https://openalex.org/W2963906836","https://openalex.org/W2990201021","https://openalex.org/W3103757879","https://openalex.org/W3104979525"],"related_works":["https://openalex.org/W4243305035","https://openalex.org/W4239268388","https://openalex.org/W4237547500","https://openalex.org/W3000097931","https://openalex.org/W2379407973","https://openalex.org/W2373192430","https://openalex.org/W2354322770","https://openalex.org/W2350267540","https://openalex.org/W1570848052","https://openalex.org/W1537496349"],"abstract_inverted_index":{"Fully":[0],"convolutional":[1,30,52,65],"networks":[2],"(FCN)":[3],"has":[4],"significantly":[5],"improved":[6],"the":[7,28,56,130,133,146],"performance":[8],"of":[9,58,132],"many":[10],"pixel-labeling":[11],"tasks,":[12],"such":[13],"as":[14],"semantic":[15,123],"segmentation":[16],"and":[17,33,74,122,137,150],"depth":[18],"estimation.":[19],"However,":[20],"it":[21],"still":[22],"remains":[23],"non-trivial":[24],"to":[25,49,69,85,98,110,117,145],"thoroughly":[26],"utilize":[27],"multi-level":[29,51,71],"feature":[31,72,105],"maps":[32,73,128,136],"boundary":[34,60,92,100,112,120,135],"information":[35,93,113],"for":[36],"salient":[37,115],"object":[38,59],"detection.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"a":[45,63],"novel":[46],"FCN":[47],"framework":[48,159],"integrate":[50],"features":[53],"recurrently":[54],"with":[55],"guidance":[57],"information.":[61],"First,":[62],"deep":[64],"network":[66],"is":[67,96,108],"used":[68,84],"extract":[70],"separately":[75],"aggregate":[76],"them":[77],"into":[78,114],"multiple":[79],"resolutions,":[80],"which":[81,141],"can":[82],"be":[83],"generate":[86,99],"coarse":[87],"saliency":[88,127,139],"maps.":[89],"Meanwhile,":[90],"another":[91],"extraction":[94],"branch":[95],"proposed":[97],"features.":[101],"Finally,":[102],"an":[103],"attention-based":[104],"fusion":[106],"module":[107],"designed":[109],"fuse":[111],"regions":[116],"achieve":[118],"accurate":[119],"inference":[121],"enhancement.":[124],"The":[125],"final":[126],"are":[129,142],"combination":[131],"predicted":[134],"integrated":[138],"maps,":[140],"more":[143],"closer":[144],"ground":[147],"truths.":[148],"Experiments":[149],"analysis":[151],"on":[152],"four":[153],"large-scale":[154],"benchmarks":[155],"verify":[156],"that":[157],"our":[158],"achieves":[160],"new":[161],"state-of-the-art":[162],"results.":[163]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3098241816","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-04-05T08:50:06.380037","created_date":"2020-11-23"}