{"id":"https://openalex.org/W3080784972","doi":"https://doi.org/10.1007/978-3-030-58598-3_3","title":"Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection","display_name":"Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3080784972","doi":"https://doi.org/10.1007/978-3-030-58598-3_3","mag":"3080784972"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58598-3_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58598-3_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.09694","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016254297","display_name":"Carlo Biffi","orcid":"https://orcid.org/0000-0002-4913-7441"},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Carlo Biffi","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, London, UK"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, London, UK","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052824649","display_name":"Steven McDonagh","orcid":"https://orcid.org/0000-0001-7025-5197"},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven McDonagh","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, London, UK"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, London, UK","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042899882","display_name":"Philip H. S. Torr","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip Torr","raw_affiliation_strings":["University of Oxford, Oxford, UK","[University of Oxford, Oxford, UK]"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"[University of Oxford, Oxford, UK]","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085971943","display_name":"Ale\u0161 Leonardis","orcid":"https://orcid.org/0000-0003-0773-3277"},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ale\u0161 Leonardis","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, London, UK"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, London, UK","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020523405","display_name":"Sarah Parisot","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]},{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"Sarah Parisot","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, London, UK","Mila Montr\u00e9al, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, London, UK","institution_ids":["https://openalex.org/I4210160618"]},{"raw_affiliation_string":"Mila Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016254297"],"corresponding_institution_ids":["https://openalex.org/I4210160618"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16243712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"50"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.998199999332428,"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/pascal","display_name":"Pascal (unit)","score":0.8349997997283936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8138645887374878},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7616832256317139},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7068160772323608},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.6455226540565491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6288907527923584},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5902190208435059},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5896413326263428},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5874647498130798},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5839160084724426},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.516776442527771},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.45911261439323425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.446417897939682},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4319063723087311},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42308366298675537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4030323624610901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.339616060256958},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05937489867210388}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8349997997283936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8138645887374878},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7616832256317139},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7068160772323608},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.6455226540565491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6288907527923584},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5902190208435059},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5896413326263428},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5874647498130798},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5839160084724426},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.516776442527771},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.45911261439323425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.446417897939682},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4319063723087311},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42308366298675537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4030323624610901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.339616060256958},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05937489867210388},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-58598-3_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58598-3_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2008.09694","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.09694","pdf_url":"https://arxiv.org/pdf/2008.09694","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":null,"raw_type":"text"},{"id":"mag:3080784972","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2008.09694.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2008.09694","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.09694","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.09694","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.09694","pdf_url":"https://arxiv.org/pdf/2008.09694","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2088049833","https://openalex.org/W2194775991","https://openalex.org/W2604260814","https://openalex.org/W2606831796","https://openalex.org/W2613718673","https://openalex.org/W2788159735","https://openalex.org/W2788210750","https://openalex.org/W2798748179","https://openalex.org/W2813911573","https://openalex.org/W2884195989","https://openalex.org/W2884367402","https://openalex.org/W2914438239","https://openalex.org/W2936797760","https://openalex.org/W2962837320","https://openalex.org/W2963037989","https://openalex.org/W2963282369","https://openalex.org/W2963351448","https://openalex.org/W2963603913","https://openalex.org/W2963952323","https://openalex.org/W2964328846","https://openalex.org/W2966746892","https://openalex.org/W2983156430","https://openalex.org/W2989676862","https://openalex.org/W2991662170","https://openalex.org/W2996583130","https://openalex.org/W2997079108"],"related_works":["https://openalex.org/W2276393162","https://openalex.org/W3110226019","https://openalex.org/W2997490332","https://openalex.org/W3007271008","https://openalex.org/W3021734639","https://openalex.org/W2592384071","https://openalex.org/W2963934231","https://openalex.org/W3139613640","https://openalex.org/W3007429212","https://openalex.org/W3128543370","https://openalex.org/W3111679735","https://openalex.org/W2965994363","https://openalex.org/W3041485444","https://openalex.org/W2998862615","https://openalex.org/W3154360923","https://openalex.org/W3101090102","https://openalex.org/W1595095002","https://openalex.org/W2270801692","https://openalex.org/W3042846909","https://openalex.org/W3045324798"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}