{"id":"https://openalex.org/W2605192462","doi":"https://doi.org/10.1109/icme.2017.8019332","title":"Iterative object and part transfer for fine-grained recognition","display_name":"Iterative object and part transfer for fine-grained recognition","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2605192462","doi":"https://doi.org/10.1109/icme.2017.8019332","mag":"2605192462"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2017.8019332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5066530136","display_name":"Zhiqiang Shen","orcid":"https://orcid.org/0000-0002-4560-5092"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiqiang Shen","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047962986","display_name":"Yu\u2013Gang Jiang","orcid":"https://orcid.org/0000-0002-1907-8567"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Gang Jiang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424814","display_name":"Dequan Wang","orcid":"https://orcid.org/0000-0003-0877-4636"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dequan Wang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003418019","display_name":"Xiangyang Xue","orcid":"https://orcid.org/0000-0002-4897-9209"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Xue","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066530136"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54459431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1470","last_page":"1475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8363092541694641},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7004997730255127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6886958479881287},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6534532904624939},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6005215048789978},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5764737129211426},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5742826461791992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5604833364486694},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.5055370330810547},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.48977017402648926},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4831523299217224},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4712650775909424},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4436717629432678},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.43002673983573914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35108789801597595},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07610079646110535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8363092541694641},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7004997730255127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6886958479881287},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6534532904624939},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6005215048789978},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5764737129211426},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5742826461791992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5604833364486694},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.5055370330810547},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.48977017402648926},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4831523299217224},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4712650775909424},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4436717629432678},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.43002673983573914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35108789801597595},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07610079646110535},{"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icme.2017.8019332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-115027","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-115027","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-115027","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-115027","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W29232659","https://openalex.org/W56385144","https://openalex.org/W166750225","https://openalex.org/W1531492214","https://openalex.org/W1537698211","https://openalex.org/W1616462885","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1928906481","https://openalex.org/W1966641700","https://openalex.org/W1993309459","https://openalex.org/W1995543189","https://openalex.org/W2049750909","https://openalex.org/W2069682406","https://openalex.org/W2079789819","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2110765924","https://openalex.org/W2118696714","https://openalex.org/W2122686738","https://openalex.org/W2145607950","https://openalex.org/W2152411181","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2202499615","https://openalex.org/W2207849498","https://openalex.org/W2213241010","https://openalex.org/W2962798895","https://openalex.org/W2963474899","https://openalex.org/W6601192696","https://openalex.org/W6602324145","https://openalex.org/W6606767076","https://openalex.org/W6636475194","https://openalex.org/W6638319203","https://openalex.org/W6640376812","https://openalex.org/W6676338569"],"related_works":["https://openalex.org/W2073713056","https://openalex.org/W3110702597","https://openalex.org/W2078761926","https://openalex.org/W2110441383","https://openalex.org/W2125620709","https://openalex.org/W1498872724","https://openalex.org/W4233149903","https://openalex.org/W4293864700","https://openalex.org/W2524540579","https://openalex.org/W4321784794"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,15,34,54,76],"fine-grained":[3],"recognition":[4],"is":[5,38,67],"to":[6,24],"identify":[7],"sub-ordinate":[8],"categories":[9],"in":[10,22,109,179],"images":[11,107],"like":[12],"different":[13],"species":[14],"birds.":[16],"Existing":[17],"works":[18],"have":[19],"confirmed":[20],"that,":[21],"order":[23],"capture":[25],"the":[26,30,49,74,110,124,130,147,180],"subtle":[27],"differences":[28],"across":[29],"categories,":[31],"automatic":[32],"localization":[33,46],"objects":[35,132],"and":[36,44,59,70,91,133,151,154],"parts":[37],"critical.":[39],"Most":[40],"approaches":[41],"for":[42,89,140],"object":[43,90],"part":[45,92],"rehed":[47],"on":[48,129,146],"bottom-up":[50],"pipeline,":[51],"where":[52],"thousands":[53],"region":[55],"proposals":[56],"are":[57,138],"generated":[58],"then":[60],"filtered":[61],"by":[62],"pre-trained":[63],"object/part":[64],"models.":[65],"This":[66],"computationally":[68],"expensive":[69],"not":[71],"scalable":[72],"once":[73],"number":[75],"objects/parts":[77],"becomes":[78],"large.":[79],"In":[80,113],"this":[81],"paper,":[82],"we":[83,115,162],"propose":[84,116],"a":[85,104,152,171],"nonparametric":[86],"data-driven":[87],"method":[88],"localization.":[93],"Given":[94],"an":[95,117],"unlabeled":[96],"test":[97,181],"image,":[98],"our":[99,144],"approach":[100,145],"transfers":[101],"annotations":[102],"from":[103],"few":[105,172],"similar":[106],"retrieved":[108],"training":[111],"set.":[112],"particular,":[114],"iterative":[118],"transfer":[119],"strategy":[120],"that":[121],"gradually":[122],"refine":[123],"predicted":[125],"bounding":[126,177],"boxes.":[127],"Based":[128],"located":[131],"parts,":[134],"deep":[135],"convolutional":[136],"features":[137],"extracted":[139],"recognition.":[141],"We":[142],"evaluate":[143],"widely-used":[148],"CUB200-2011":[149],"dataset":[150,156],"new":[153],"large":[155],"called":[157],"Birdsnap.":[158],"On":[159],"both":[160],"datasets,":[161],"achieve":[163],"better":[164],"results":[165],"than":[166],"many":[167],"state-of-the-art":[168],"approaches,":[169],"including":[170],"using":[173],"oracle":[174],"(manually":[175],"annotated)":[176],"boxes":[178],"images.":[182]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
