{"id":"https://openalex.org/W3170305485","doi":"https://doi.org/10.1109/icme51207.2021.9428135","title":"Object Decoupling with Graph Correlation for Fine-Grained Image Classification","display_name":"Object Decoupling with Graph Correlation for Fine-Grained Image Classification","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3170305485","doi":"https://doi.org/10.1109/icme51207.2021.9428135","mag":"3170305485"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5019945749","display_name":"Qiushi Guo","orcid":"https://orcid.org/0000-0002-6217-102X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiushi Guo","raw_affiliation_strings":["Alibaba Group,Hangzhou City,China","Alibaba Group, Hangzhou City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou City,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou City, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030077358","display_name":"Mingchen Zhuge","orcid":"https://orcid.org/0000-0003-2561-7712"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchen Zhuge","raw_affiliation_strings":["Alibaba Group,Hangzhou City,China","Alibaba Group, Hangzhou City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou City,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou City, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062149619","display_name":"Dehong Gao","orcid":"https://orcid.org/0000-0002-6636-5702"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehong Gao","raw_affiliation_strings":["Alibaba Group,Hangzhou City,China","Alibaba Group, Hangzhou City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou City,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou City, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039470855","display_name":"Huiling Zhou","orcid":"https://orcid.org/0009-0003-9007-9284"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Zhou","raw_affiliation_strings":["Alibaba Group,Hangzhou City,China","Alibaba Group, Hangzhou City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou City,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou City, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328001","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-7528-2407"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Alibaba Group,Hangzhou City,China","Alibaba Group, Hangzhou City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou City,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou City, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071948652","display_name":"Xiaonan Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaonan Meng","raw_affiliation_strings":["Alibaba Group,Hangzhou City,China","Alibaba Group, Hangzhou City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou City,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou City, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.097,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37497782,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991000294685364,"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":0.9958000183105469,"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":0.7682516574859619},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6166216135025024},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5930664539337158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5835681557655334},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5786858201026917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5373057723045349},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5367665886878967},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5204799175262451},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4795267581939697},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.42314234375953674},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4219839572906494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38654476404190063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3333406448364258},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3317471742630005},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16942691802978516},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10405060648918152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682516574859619},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6166216135025024},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5930664539337158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5835681557655334},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5786858201026917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5373057723045349},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5367665886878967},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5204799175262451},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4795267581939697},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.42314234375953674},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4219839572906494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38654476404190063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3333406448364258},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3317471742630005},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16942691802978516},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10405060648918152},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W744862910","https://openalex.org/W1797268635","https://openalex.org/W1846799578","https://openalex.org/W2554320282","https://openalex.org/W2734501611","https://openalex.org/W2773003563","https://openalex.org/W2798365843","https://openalex.org/W2883502031","https://openalex.org/W2891951760","https://openalex.org/W2915594101","https://openalex.org/W2953915809","https://openalex.org/W2961018736","https://openalex.org/W2962761264","https://openalex.org/W2963090248","https://openalex.org/W2963407932","https://openalex.org/W2986456235","https://openalex.org/W2986821660","https://openalex.org/W3008809756","https://openalex.org/W3034676907","https://openalex.org/W3035367622","https://openalex.org/W6622169938","https://openalex.org/W6638319203","https://openalex.org/W6638677478","https://openalex.org/W6754854709","https://openalex.org/W6764782982","https://openalex.org/W6767612737"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"Fine-grained":[0],"image":[1,17,72,155],"classification":[2,37,156],"has":[3],"drawn":[4],"increasing":[5],"attention":[6],"as":[7,38],"it":[8,176,199],"is":[9,53,101,151],"much":[10],"closer":[11],"to":[12,87,104,182],"practical":[13,190,208],"applications":[14],"than":[15],"generic":[16],"classification.":[18,73],"The":[19,196],"majority":[20],"of":[21,33,62,70,92,130,145,204],"current":[22],"fine-grained":[23,71,107,154],"approaches":[24,44],"locate":[25],"the":[26,31,47,56,59,68,89,106,121,128,168,173,202],"discriminative":[27],"regions":[28,35],"and":[29,175],"leverage":[30],"features":[32,137],"these":[34,43,131,135,146],"for":[36,153],"their":[39],"magic":[40],"weapons.":[41],"However,":[42],"simply":[45],"ignore":[46],"internal":[48],"semantic":[49],"region":[50,93],"correlation.":[51,94],"As":[52],"well":[54],"known,":[55],"correlation":[57],"reveals":[58],"salient":[60],"information":[61],"images,":[63],"which":[64],"can":[65],"further":[66,200],"boost":[67],"performance":[69,181],"To":[74],"this":[75],"end,":[76],"we":[77,187],"propose":[78],"an":[79,158],"Object":[80,97],"Decoupling":[81,116],"with":[82],"Graph":[83,140],"Correlation":[84,141],"network":[85],"(ODGC)":[86],"explore":[88],"informative":[90],"potentials":[91],"A":[95,114],"Responsive":[96],"Location":[98],"Module":[99,117,142],"(ROLM)":[100],"first":[102],"introduced":[103],"obtain":[105],"object":[108,122],"within":[109],"a":[110,139,178,189],"bounding":[111],"box":[112],"automatically.":[113],"Semantic":[115],"(SDM)":[118],"then":[119],"segments":[120],"into":[123,138],"different":[124],"parts.":[125],"ODGC":[126,150],"learns":[127],"representations":[129],"parts":[132],"by":[133],"transferring":[134],"part":[136],"(GCM).":[143],"Consists":[144],"three":[147],"main":[148],"modules,":[149],"trained":[152],"in":[157,207],"end-to-end":[159],"way.":[160],"Extensive":[161],"experiments":[162],"conducted":[163],"on":[164,198],"CUB-200-2011":[165],"demonstrate":[166],"that":[167],"aforementioned":[169],"modules":[170],"significantly":[171],"improve":[172],"ODGC,":[174],"achieves":[177],"new":[179],"state-of-the-art":[180],"88.2%":[183],"top-1":[184],"accuracy.":[185],"Besides,":[186],"collect":[188],"business":[191],"e-commercial":[192],"dataset,":[193],"named":[194],"Ecom-15K.":[195],"evaluation":[197],"validates":[201],"applicability":[203],"our":[205],"method":[206],"scenarios.":[209]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}