{"id":"https://openalex.org/W2870782586","doi":"https://doi.org/10.1109/access.2018.2852728","title":"Learning Coexistence Discriminative Features for Multi-Class Object Detection","display_name":"Learning Coexistence Discriminative Features for Multi-Class Object Detection","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2870782586","doi":"https://doi.org/10.1109/access.2018.2852728","mag":"2870782586"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2852728","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2852728","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2852728","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101678298","display_name":"Chao Yao","orcid":"https://orcid.org/0000-0001-5483-3225"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Yao","raw_affiliation_strings":["Institute of Sensing Technology and Business, Beijing University of Posts and Telecommunications, Beijing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"Institute of Sensing Technology and Business, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071704821","display_name":"Pengfei Sun","orcid":"https://orcid.org/0000-0002-9843-344X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Sun","raw_affiliation_strings":["Institute of Sensing Technology and Business, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Sensing Technology and Business, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082723081","display_name":"Ruicong Zhi","orcid":"https://orcid.org/0000-0002-6913-4248"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruicong Zhi","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103187066","display_name":"Yanfei Shen","orcid":"https://orcid.org/0000-0002-8093-7754"},"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"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I87710204","display_name":"Beijing Sport University","ror":"https://ror.org/03w0k0x36","country_code":"CN","type":"education","lineage":["https://openalex.org/I87710204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Shen","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China","Sports and Engineering College, Beijing Sport University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Sports and Engineering College, Beijing Sport University, Beijing, China","institution_ids":["https://openalex.org/I87710204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101678298"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5669,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87708885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"37676","last_page":"37684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9690384864807129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7718849778175354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7468228340148926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7319950461387634},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6802626848220825},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6493921279907227},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6292458772659302},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5874323844909668},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.507555365562439},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5020921230316162},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4673346281051636},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41789889335632324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36657267808914185},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35340118408203125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19438499212265015}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9690384864807129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7718849778175354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7468228340148926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7319950461387634},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6802626848220825},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6493921279907227},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6292458772659302},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5874323844909668},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.507555365562439},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5020921230316162},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4673346281051636},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41789889335632324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36657267808914185},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35340118408203125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19438499212265015},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2852728","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2852728","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:30a8f0706fb54865bb22a00bfa0b5917","is_oa":true,"landing_page_url":"https://doaj.org/article/30a8f0706fb54865bb22a00bfa0b5917","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 37676-37684 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2852728","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2852728","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G2717549007","display_name":null,"funder_award_id":"61471343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5040751014","display_name":null,"funder_award_id":"2017RC52","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8306175728","display_name":null,"funder_award_id":"61701036","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1930392762","https://openalex.org/W1982522767","https://openalex.org/W2031489346","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2128197086","https://openalex.org/W2134927309","https://openalex.org/W2141364309","https://openalex.org/W2147511372","https://openalex.org/W2160254296","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2295107390","https://openalex.org/W2511730936","https://openalex.org/W2519599897","https://openalex.org/W2556967412","https://openalex.org/W2586661295","https://openalex.org/W2605736949","https://openalex.org/W2606609115","https://openalex.org/W2613718673","https://openalex.org/W2797621585","https://openalex.org/W2937970997","https://openalex.org/W2949846184","https://openalex.org/W2950800384","https://openalex.org/W2963037989","https://openalex.org/W2963093690","https://openalex.org/W2963446712","https://openalex.org/W2963875806","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6678865028","https://openalex.org/W6681885738","https://openalex.org/W6714138976","https://openalex.org/W6729983426","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/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"Existing":[0],"methods":[1],"on":[2,86],"object":[3,17,44,104,121,144],"detection":[4,122,145],"have":[5],"the":[6,10,20,24,38,53,57,64,69,77,87,92,99,114,119,125,132,143],"ability":[7],"to":[8,36,67,135],"learn":[9,37,68],"discriminative":[11,40,71,94,127],"features":[12,41,72,95,128],"of":[13,56,102,139],"local":[14],"regions":[15],"for":[16,42,73],"recognition;":[18],"however,":[19],"coexistence":[21,39,78,83,97,133],"relation":[22,79],"between":[23],"multi-class":[25,43,103,140],"objects":[26,141],"could":[27],"also":[28],"benefit":[29],"recognition.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"propose":[35],"detection.":[45],"Given":[46],"an":[47],"image":[48],"with":[49],"multiple":[50],"class":[51],"objects,":[52],"strong":[54],"supervision":[55],"region-based":[58],"annotations":[59],"are":[60],"first":[61],"used":[62],"as":[63,82],"image-level":[65],"label":[66],"independent":[70,93],"each":[74],"class.":[75],"Then,":[76],"is":[80],"fused":[81],"feature":[84],"based":[85],"attention":[88],"mechanism.":[89],"By":[90],"combining":[91],"and":[96,124],"feature,":[98],"classification":[100,137],"performance":[101,138],"proposals":[105],"can":[106,129],"be":[107],"consistently":[108],"improved.":[109],"Experimental":[110],"results":[111],"prove":[112],"that":[113],"proposed":[115],"end-to-end":[116],"network":[117],"outperforms":[118],"state-of-the-art":[120],"approaches,":[123],"learned":[126],"effectively":[130],"capture":[131],"relations":[134],"improve":[136],"in":[142],"task.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}