{"id":"https://openalex.org/W2891894830","doi":"https://doi.org/10.1109/tip.2018.2865280","title":"Attention CoupleNet: Fully Convolutional Attention Coupling Network for Object Detection","display_name":"Attention CoupleNet: Fully Convolutional Attention Coupling Network for Object Detection","publication_year":2018,"publication_date":"2018-08-13","ids":{"openalex":"https://openalex.org/W2891894830","doi":"https://doi.org/10.1109/tip.2018.2865280","mag":"2891894830","pmid":"https://pubmed.ncbi.nlm.nih.gov/30106731"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2865280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2865280","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/A5065043476","display_name":"Yousong Zhu","orcid":"https://orcid.org/0000-0001-8544-410X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yousong Zhu","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":"https://orcid.org/0000-0001-8544-410X","affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102990950","display_name":"Chaoyang Zhao","orcid":"https://orcid.org/0000-0002-0341-0166"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyang Zhao","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085707125","display_name":"Haiyun Guo","orcid":"https://orcid.org/0000-0001-9241-6211"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyun Guo","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":"https://orcid.org/0000-0002-9118-2780","affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112527895","display_name":"Xu Zhao","orcid":"https://orcid.org/0000-0001-5888-8872"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhao","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511737","display_name":"Hanqing Lu","orcid":"https://orcid.org/0000-0001-9506-3407"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":8.7397,"has_fulltext":false,"cited_by_count":172,"citation_normalized_percentile":{"value":0.98328696,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"28","issue":"1","first_page":"113","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9972000122070312,"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":0.7872560024261475},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7860158681869507},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6802074909210205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6338357925415039},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5555868744850159},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5363366007804871},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4954570531845093},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4512466788291931},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44755083322525024},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4333752989768982},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4223266541957855},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.20601797103881836},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12168318033218384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872560024261475},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7860158681869507},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6802074909210205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6338357925415039},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5555868744850159},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5363366007804871},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4954570531845093},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4512466788291931},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44755083322525024},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4333752989768982},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4223266541957855},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.20601797103881836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12168318033218384},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2865280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2865280","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:30106731","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30106731","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":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G5582725067","display_name":"\u57fa\u4e8e\u7ed3\u6784\u5173\u7cfb\u548c\u77e5\u8bc6\u5b66\u4e60\u7684\u5927\u89c4\u6a21\u89c6\u89c9\u76ee\u6807\u68c0\u7d22","funder_award_id":"61772527","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W854541894","https://openalex.org/W1514535095","https://openalex.org/W1861492603","https://openalex.org/W1899185266","https://openalex.org/W1904324390","https://openalex.org/W1932624639","https://openalex.org/W1981892159","https://openalex.org/W2031489346","https://openalex.org/W2044208973","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2125556102","https://openalex.org/W2129987527","https://openalex.org/W2133564696","https://openalex.org/W2143743639","https://openalex.org/W2144794286","https://openalex.org/W2159265832","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2490270993","https://openalex.org/W2520005737","https://openalex.org/W2560023338","https://openalex.org/W2574952845","https://openalex.org/W2594605677","https://openalex.org/W2604702198","https://openalex.org/W2763268728","https://openalex.org/W2950800384","https://openalex.org/W2962891704","https://openalex.org/W2962992847","https://openalex.org/W2963037989","https://openalex.org/W2963068995","https://openalex.org/W2963351448","https://openalex.org/W2963495494","https://openalex.org/W2963516811","https://openalex.org/W2963996492","https://openalex.org/W2964308564","https://openalex.org/W3097096317","https://openalex.org/W3106250896","https://openalex.org/W4294557331","https://openalex.org/W6623517193","https://openalex.org/W6628973269","https://openalex.org/W6630875275","https://openalex.org/W6631782140","https://openalex.org/W6639102338","https://openalex.org/W6639927594","https://openalex.org/W6640759364","https://openalex.org/W6675026286","https://openalex.org/W6676338569","https://openalex.org/W6679434410","https://openalex.org/W6683367279","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6696141924","https://openalex.org/W6703839260","https://openalex.org/W6714138976","https://openalex.org/W6722946945","https://openalex.org/W6730342312","https://openalex.org/W6734514467","https://openalex.org/W6735463952","https://openalex.org/W6737137598","https://openalex.org/W6742043879","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W1617617605"],"abstract_inverted_index":{"The":[0],"field":[1],"of":[2,13,30,41,76,96,133,164,179,195],"object":[3,135],"detection":[4,81],"has":[5],"made":[6],"great":[7],"progress":[8],"in":[9,27],"recent":[10],"years.":[11],"Most":[12],"these":[14],"improvements":[15],"are":[16,108,207],"derived":[17],"from":[18],"using":[19],"a":[20,57,87,120,139,193],"more":[21],"sophisticated":[22],"convolutional":[23,60,123],"neural":[24],"network.":[25],"However,":[26],"the":[28,32,68,80,93,97,105,111,134,146,165,169,177],"case":[29],"humans,":[31],"attention":[33,89,102,106],"mechanism,":[34],"global":[35,72,94,128,147,170],"structure":[36,90,125,129],"information,":[37],"and":[38,71,73,99,130,148,157,171,202],"local":[39,74,131,149,172],"details":[40],"objects":[42,77],"all":[43,187],"play":[44],"an":[45,50],"important":[46],"role":[47],"for":[48],"detecting":[49],"object.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,84,118,151],"propose":[56,119],"novel":[58],"fully":[59,122,144],"network,":[61],"named":[62],"as":[63],"Attention":[64],"CoupleNet,":[65],"to":[66,78,91,113,126,136,160],"incorporate":[67],"attention-related":[69],"information":[70,75],"improve":[79],"performance.":[82],"Specifically,":[83],"first":[85],"design":[86,153],"cascade":[88],"perceive":[92],"scene":[95],"image":[98],"generate":[100],"class-agnostic":[101],"maps.":[103],"Then":[104],"maps":[107],"encoded":[109],"into":[110],"network":[112],"acquire":[114],"object-aware":[115],"features.":[116],"Next,":[117],"unique":[121],"coupling":[124,155],"couple":[127],"parts":[132],"further":[137],"formulate":[138],"discriminative":[140],"feature":[141],"representation.":[142],"To":[143],"explore":[145],"properties,":[150],"also":[152],"different":[154],"strategies":[156],"normalization":[158],"ways":[159],"make":[161],"full":[162],"use":[163],"complementary":[166],"advantages":[167],"between":[168],"information.":[173],"Extensive":[174],"experiments":[175],"demonstrate":[176],"effectiveness":[178],"our":[180],"approach.":[181],"We":[182],"achieve":[183],"state-of-the-art":[184],"results":[185],"on":[186,197,200,204],"three":[188],"challenging":[189],"data":[190],"sets,":[191],"i.e.,":[192],"mAP":[194],"85.7%":[196],"VOC07,":[198],"84.3%":[199],"VOC12,":[201],"35.4%":[203],"COCO.":[205],"Codes":[206],"publicly":[208],"available":[209],"at":[210],"https://github.com/tshizys/CoupleNet.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":38},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
