{"id":"https://openalex.org/W2525211160","doi":"https://doi.org/10.1109/icmew.2016.7574666","title":"Deep multi-context Network for FINE-GRAINED VISUAL RECOGNITION","display_name":"Deep multi-context Network for FINE-GRAINED VISUAL RECOGNITION","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2525211160","doi":"https://doi.org/10.1109/icmew.2016.7574666","mag":"2525211160"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2016.7574666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-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/A5040124198","display_name":"Xinyu Ou","orcid":"https://orcid.org/0000-0002-2905-426X"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I4210160657","display_name":"Yunnan Open University","ror":"https://ror.org/04egk7864","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210160657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyu Ou","raw_affiliation_strings":["Huazhong University of Science and Technology, School of Computer Science and Technology","SKLOIS, Institute of Information Engineering","YNGBZX, Yunnan Open University"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, School of Computer Science and Technology","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"SKLOIS, Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404"]},{"raw_affiliation_string":"YNGBZX, Yunnan Open University","institution_ids":["https://openalex.org/I4210160657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101995777","display_name":"Zhen Wei","orcid":"https://orcid.org/0000-0003-3190-6633"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wei","raw_affiliation_strings":["SKLOIS, Institute of Information Engineering","University of Electronic Science and Technology of China, Yingcai Experimental School"],"affiliations":[{"raw_affiliation_string":"SKLOIS, Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Yingcai Experimental School","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037263298","display_name":"Hefei Ling","orcid":"https://orcid.org/0000-0001-6797-7412"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hefei Ling","raw_affiliation_strings":["Huazhong University of Science and Technology, School of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, School of Computer Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330138","display_name":"Si Liu","orcid":"https://orcid.org/0000-0002-9180-2935"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Liu","raw_affiliation_strings":["SKLOIS, Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"SKLOIS, Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["SKLOIS, Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"SKLOIS, Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040124198"],"corresponding_institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210160657","https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66601776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.8533093929290771},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7822006344795227},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7229930758476257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6950373649597168},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6668881773948669},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5617724657058716},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5021007061004639},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.496207058429718},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.47263428568840027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44805383682250977},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4299900531768799},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.07432675361633301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8533093929290771},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7822006344795227},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7229930758476257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6950373649597168},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6668881773948669},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5617724657058716},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5021007061004639},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.496207058429718},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.47263428568840027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44805383682250977},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4299900531768799},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.07432675361633301},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew.2016.7574666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W2104657103","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2949295283","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6688789216"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"tackle":[4],"the":[5,52,66,75,102,115],"FINE-GRAINED":[6],"VISUAL":[7],"RECOGNITION":[8],"problem":[9],"by":[10],"proposing":[11],"a":[12,44,58],"deep":[13,18,47,82],"multi-context":[14,46,67],"framework.":[15,49],"We":[16],"employ":[17],"Convolutional":[19],"Neural":[20],"Networks":[21],"to":[22,64],"model":[23],"features":[24],"of":[25],"objects":[26],"in":[27,43,74],"images.":[28],"Global":[29],"context":[30,33],"and":[31,39,86,98,111],"local":[32],"are":[34,40,84,93],"both":[35],"taken":[36],"into":[37],"consideration,":[38],"jointly":[41],"modeled":[42],"unified":[45],"learning":[48],"To":[50],"cleanse":[51],"relatively":[53],"dirty":[54],"data":[55],"for":[56,70],"training,":[57],"regional":[59],"proposal":[60],"method":[61],"is":[62,89],"designed":[63],"make":[65],"modeling":[68],"suited":[69],"fine-grained":[71],"visual":[72],"recognition":[73],"real":[76],"world.":[77],"Furthermore,":[78],"recently":[79],"proposed":[80],"contemporary":[81],"models":[83],"used,":[85],"their":[87],"combination":[88],"investigated.":[90],"Our":[91],"approaches":[92],"evaluated":[94],"on":[95,101],"MSR-IRC":[96],"2016":[97],"further":[99],"assessed":[100],"more":[103],"complex":[104],"validation":[105],"set.":[106],"The":[107],"results":[108],"show":[109],"significant":[110],"consistent":[112],"improvements":[113],"over":[114],"baseline.":[116]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
