{"id":"https://openalex.org/W3011420752","doi":"https://doi.org/10.1109/cvpr42600.2020.01386","title":"Incremental Few-Shot Object Detection","display_name":"Incremental Few-Shot Object Detection","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3011420752","doi":"https://doi.org/10.1109/cvpr42600.2020.01386","mag":"3011420752"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr42600.2020.01386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr42600.2020.01386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.04668","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101805096","display_name":"Juan-Manuel P\u00e9rez-R\u00faa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Juan-Manuel Perez-Rua","raw_affiliation_strings":["Samsung AI Centre, Cambridge, UK","Samsung AI Centre, Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Samsung AI Centre, Cambridge, UK","institution_ids":["https://openalex.org/I4210117523"]},{"raw_affiliation_string":"Samsung AI Centre, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210117523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028643592","display_name":"Xiatian Zhu","orcid":"https://orcid.org/0000-0002-9284-2955"},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiatian Zhu","raw_affiliation_strings":["Samsung AI Centre, Cambridge","Samsung AI Centre, Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Samsung AI Centre, Cambridge","institution_ids":["https://openalex.org/I4210117523"]},{"raw_affiliation_string":"Samsung AI Centre, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210117523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087823932","display_name":"Timothy M. Hospedales","orcid":"https://orcid.org/0000-0003-4867-7486"},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy M. Hospedales","raw_affiliation_strings":["Samsung AI Centre, Cambridge, UK","Samsung AI Centre, Cambridge, United Kingdom; University of Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Samsung AI Centre, Cambridge, UK","institution_ids":["https://openalex.org/I4210117523"]},{"raw_affiliation_string":"Samsung AI Centre, Cambridge, United Kingdom; University of Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I4210117523","https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014436524","display_name":"Tao Xiang","orcid":"https://orcid.org/0000-0002-2530-1059"},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]},{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tao Xiang","raw_affiliation_strings":["Samsung AI Centre, Cambridge","University of Surrey, United Kingdom","Samsung AI Centre, Cambridge, United Kingdom; University of Surrey, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Samsung AI Centre, Cambridge","institution_ids":["https://openalex.org/I4210117523"]},{"raw_affiliation_string":"University of Surrey, United Kingdom","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"Samsung AI Centre, Cambridge, United Kingdom; University of Surrey, United Kingdom","institution_ids":["https://openalex.org/I4210117523","https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101805096"],"corresponding_institution_ids":["https://openalex.org/I4210117523"],"apc_list":null,"apc_paid":null,"fwci":2.8799,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92390789,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"13843","last_page":"13852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9945999979972839,"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":0.7881970405578613},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6405477523803711},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6205944418907166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.588653564453125},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5702406764030457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.445636510848999},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4354759454727173},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4104742407798767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38992875814437866},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3493536710739136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27848321199417114},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14390361309051514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881970405578613},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6405477523803711},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6205944418907166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.588653564453125},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5702406764030457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.445636510848999},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4354759454727173},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4104742407798767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38992875814437866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3493536710739136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27848321199417114},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14390361309051514},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/cvpr42600.2020.01386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr42600.2020.01386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2003.04668","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.04668","pdf_url":"https://arxiv.org/pdf/2003.04668","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/9b65fdc0-c3b9-40f8-bdd9-5e7542747af3","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/9b65fdc0-c3b9-40f8-bdd9-5e7542747af3","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Perez-Rua, J M, Zhu, X, Hospedales, T & Xiang, T 2020, Incremental Few-Shot Object Detection. in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers, Seattle, WA, USA, pp. 13843-13852, IEEE Conference on Computer Vision and Pattern Recognition 2020, Seattle, Washington, United States, 16/06/20. https://doi.org/10.1109/CVPR42600.2020.01386","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/9b65fdc0-c3b9-40f8-bdd9-5e7542747af3","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9157715","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Perez-Rua, J M, Zhu, X, Hospedales, T & Xiang, T 2020, Incremental Few-Shot Object Detection. in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers, Seattle, WA, USA, pp. 13843-13852, IEEE Conference on Computer Vision and Pattern Recognition 2020, Seattle, Washington, United States, 16/06/20. https://doi.org/10.1109/CVPR42600.2020.01386","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.2003.04668","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.04668","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3011420752","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.04668","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.04668","pdf_url":"https://arxiv.org/pdf/2003.04668","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2060277733","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2118330267","https://openalex.org/W2133735566","https://openalex.org/W2156406284","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2399033357","https://openalex.org/W2407521645","https://openalex.org/W2559348937","https://openalex.org/W2601450892","https://openalex.org/W2613718673","https://openalex.org/W2753160622","https://openalex.org/W2768228940","https://openalex.org/W2789366140","https://openalex.org/W2796347433","https://openalex.org/W2909383239","https://openalex.org/W2935837427","https://openalex.org/W2952433032","https://openalex.org/W2962835968","https://openalex.org/W2962837320","https://openalex.org/W2962895018","https://openalex.org/W2962933664","https://openalex.org/W2963037989","https://openalex.org/W2963341924","https://openalex.org/W2963350370","https://openalex.org/W2963351448","https://openalex.org/W2963402313","https://openalex.org/W2963603913","https://openalex.org/W2963741406","https://openalex.org/W2963854535","https://openalex.org/W2963927307","https://openalex.org/W2963936013","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2964151081","https://openalex.org/W2964189064","https://openalex.org/W2966262636","https://openalex.org/W2966993394","https://openalex.org/W2967333288","https://openalex.org/W2967624246","https://openalex.org/W2967819436","https://openalex.org/W2974317861","https://openalex.org/W2982049331","https://openalex.org/W2983156430","https://openalex.org/W2983166023","https://openalex.org/W2988205463","https://openalex.org/W2989701968","https://openalex.org/W2994633389","https://openalex.org/W2996583130","https://openalex.org/W3012573144","https://openalex.org/W3030364939","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6697925102","https://openalex.org/W6712906272","https://openalex.org/W6714138976","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6737377802","https://openalex.org/W6743661861","https://openalex.org/W6749149297","https://openalex.org/W6750378959","https://openalex.org/W6750462345","https://openalex.org/W6753494528","https://openalex.org/W6758126075","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3134946523","https://openalex.org/W2601450892","https://openalex.org/W3034974675","https://openalex.org/W3044832322","https://openalex.org/W3011776886","https://openalex.org/W3101924175","https://openalex.org/W3208441708","https://openalex.org/W3117682359","https://openalex.org/W3081865769","https://openalex.org/W3158996831","https://openalex.org/W2979022915","https://openalex.org/W3184234949","https://openalex.org/W1682403713","https://openalex.org/W2740558313","https://openalex.org/W2783837693","https://openalex.org/W3124227290","https://openalex.org/W3209446570","https://openalex.org/W3002520175","https://openalex.org/W3119579108","https://openalex.org/W3094269862"],"abstract_inverted_index":{"Existing":[0],"object":[1,183],"detection":[2,184,191],"methods":[3],"typically":[4],"rely":[5],"on":[6,172,179],"the":[7,54,65,118,123,141,181,195,200],"availability":[8],"of":[9,33,44,117,155,197,210],"abundant":[10],"labelled":[11,38],"training":[12,19,39,48,157],"samples":[13],"per":[14],"class":[15,105,147],"and":[16,47,83,127,159,188,206],"offline":[17],"model":[18,45,133],"in":[20,42],"a":[21,96,129,151],"batch":[22],"mode.":[23],"These":[24],"requirements":[25],"substantially":[26],"limit":[27],"their":[28],"scalability":[29],"to":[30,58,102,122,162],"open-ended":[31],"accommodation":[32],"novel":[34,104,136,146],"classes":[35,74,164],"with":[36,84,107,145],"limited":[37],"data,":[40],"both":[41,180],"terms":[43],"accuracy":[46],"efficiency":[49],"during":[50],"deployment.":[51],"We":[52],"present":[53],"first":[55,201],"study":[56],"aiming":[57],"go":[59],"beyond":[60],"these":[61],"limitations":[62],"by":[63,113],"considering":[64],"Incremental":[66],"Few-Shot":[67],"Detection":[68],"(iFSD)":[69],"problem":[70],"setting,":[71],"where":[72],"new":[73],"must":[75],"be":[76],"registered":[77],"incrementally":[78,100],"(without":[79],"revisiting":[80],"base":[81,163],"classes)":[82],"few":[85,108],"examples.":[86,109],"To":[87],"this":[88],"end":[89],"we":[90],"propose":[91],"OpeN-ended":[92],"Centre":[93],"nEt":[94],"(ONCE),":[95],"detector":[97,121],"designed":[98],"for":[99,134,170,199],"learning":[101,125,143],"detect":[103],"objects":[106],"This":[110],"is":[111],"achieved":[112],"an":[114,204],"elegant":[115],"adaptation":[116],"efficient":[119],"CentreNet":[120],"few-shot":[124,156],"scenario,":[126],"meta-learning":[128],"class-wise":[130],"code":[131],"generator":[132],"registering":[135],"classes.":[137],"ONCE":[138],"fully":[139],"respects":[140],"incremental":[142],"paradigm,":[144],"registration":[148],"requiring":[149],"only":[150],"single":[152],"forward":[153],"pass":[154],"samples,":[158],"no":[160],"access":[161],"-":[165],"thus":[166],"making":[167],"it":[168],"suitable":[169],"deployment":[171],"embedded":[173],"devices,":[174],"etc.":[175],"Extensive":[176],"experiments":[177],"conducted":[178],"standard":[182],"(COCO,":[185],"PASCAL":[186],"VOC)":[187],"fashion":[189],"landmark":[190],"(DeepFashion2)":[192],"tasks":[193],"show":[194],"feasibility":[196],"iFSD":[198],"time,":[202],"opening":[203],"interesting":[205],"very":[207],"important":[208],"line":[209],"research.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
