{"id":"https://openalex.org/W2799113232","doi":"https://doi.org/10.1109/cvpr.2018.00975","title":"Boosting Self-Supervised Learning via Knowledge Transfer","display_name":"Boosting Self-Supervised Learning via Knowledge Transfer","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2799113232","doi":"https://doi.org/10.1109/cvpr.2018.00975","mag":"2799113232"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2018.00975","doi":"https://doi.org/10.1109/cvpr.2018.00975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2018.00975","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2799113232"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.00385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061617355","display_name":"Mehdi Noroozi","orcid":"https://orcid.org/0000-0001-6206-8121","observed_orcids":["https://orcid.org/0000-0001-6206-8121"]},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mehdi Noroozi","raw_affiliation_strings":["University of Bern"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bern","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033724660","display_name":"Ananth Vinjimoor","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ananth Vinjimoor","raw_affiliation_strings":["University of Maryland, Baltimore County"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070940574","display_name":"Paolo Favaro","orcid":"https://orcid.org/0000-0003-3546-8247","observed_orcids":["https://orcid.org/0000-0003-3546-8247"]},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Paolo Favaro","raw_affiliation_strings":["University of Bern"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bern","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031860916","display_name":"Hamed Pirsiavash","orcid":"https://orcid.org/0000-0002-2528-3305","observed_orcids":["https://orcid.org/0000-0002-2528-3305"]},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamed Pirsiavash","raw_affiliation_strings":["University of Maryland, Baltimore County"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.651,"has_fulltext":true,"cited_by_count":301,"citation_normalized_percentile":{"value":0.99035142,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"9359","last_page":"9367"},"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":0.9940999746322632,"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":0.9940999746322632,"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":0.005200000014156103,"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":9.999999747378752e-05,"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/self-supervised-learning","display_name":"self-supervised learning","score":0.996999979019165},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"knowledge transfer","score":0.9710000157356262},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"fine-tuning","score":0.7419999837875366},{"id":"https://openalex.org/keywords/learned-representations","display_name":"learned representations","score":0.4490000009536743},{"id":"https://openalex.org/keywords/handcrafted-features","display_name":"handcrafted features","score":0.6850000023841858},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.7269999980926514},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.6859999895095825},{"id":"https://openalex.org/keywords/pascal-voc-2007","display_name":"Pascal VOC 2007","score":0.8149999976158142},{"id":"https://openalex.org/keywords/place","display_name":"place","score":0.9589999914169312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7976511716842651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7404475212097168},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7287963628768921},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6925647854804993},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6831738948822021},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.634621798992157},{"id":"https://openalex.org/C2779627259","wikidata":"https://www.wikidata.org/wiki/Q779763","display_name":"Pretext","level":3,"score":0.584287166595459},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.48779088258743286},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4774385094642639},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4687606990337372},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36412814259529114},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05996277928352356},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":9,"locations":[{"id":"doi:10.1109/cvpr.2018.00975","doi":"https://doi.org/10.1109/cvpr.2018.00975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2018.00975","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.00385","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.00385","pdf_url":"https://arxiv.org/pdf/1805.00385","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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:2799113232","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1805.00385.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"pmh:doi:10.7892/boris.126520","doi":null,"is_oa":false,"landing_page_url":"https://boris-portal.unibe.ch/handle/20.500.12422/64268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferencePaper"},{"id":"pmh:oai:boris.unibe.ch:126520","doi":null,"is_oa":false,"landing_page_url":"https://boris.unibe.ch/126520/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401086","display_name":"Bern Open Repository and Information System (University of Bern)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I118564535","host_organization_name":"University of Bern","host_organization_lineage":["https://openalex.org/I118564535"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Noroozi, Mehdi; Vinjimoor, Ananth; Favaro, Paolo; Pirsiavash, Hamed (June 2018). Boosting Self-Supervised Learning via Knowledge Transfer. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, Utah, United States. June 18 - June 22, 2018.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:mdsoar.org:11603/14336","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/14336","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"doi:10.48550/arxiv.1805.00385","doi":"https://doi.org/10.48550/arxiv.1805.00385","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.00385","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.13016/m24lmq-2ssa","doi":"https://doi.org/10.13016/m24lmq-2ssa","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m24lmq-2ssa","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"doi:10.7892/boris.126520","doi":"https://doi.org/10.7892/boris.126520","is_oa":true,"landing_page_url":"https://doi.org/10.7892/boris.126520","pdf_url":null,"source":{"id":"https://openalex.org/S7407053152","display_name":"Open Access CRIS of the University of Bern","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.00385","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.00385","pdf_url":"https://arxiv.org/pdf/1805.00385","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799113232.pdf","grobid_xml":"https://content.openalex.org/works/W2799113232.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W219040644","https://openalex.org/W343636949","https://openalex.org/W819977924","https://openalex.org/W1520997877","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1903029394","https://openalex.org/W2025768430","https://openalex.org/W2034806191","https://openalex.org/W2113687551","https://openalex.org/W2117539524","https://openalex.org/W2134670479","https://openalex.org/W2134797427","https://openalex.org/W2144796873","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2198618282","https://openalex.org/W2287334441","https://openalex.org/W2294370754","https://openalex.org/W2308529009","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2342877626","https://openalex.org/W2395611524","https://openalex.org/W2412320034","https://openalex.org/W2487442924","https://openalex.org/W2510153535","https://openalex.org/W2511428026","https://openalex.org/W2519882289","https://openalex.org/W2558661413","https://openalex.org/W2561238782","https://openalex.org/W2575671312","https://openalex.org/W2589226201","https://openalex.org/W2745436507","https://openalex.org/W2750912449","https://openalex.org/W2773502880","https://openalex.org/W2949117887","https://openalex.org/W2949497014","https://openalex.org/W2950064337","https://openalex.org/W2950187998","https://openalex.org/W2950220847","https://openalex.org/W2950341389","https://openalex.org/W2951548327","https://openalex.org/W2951590555","https://openalex.org/W2952881492","https://openalex.org/W2963265008","https://openalex.org/W2963749571","https://openalex.org/W6658934047"],"related_works":["https://openalex.org/W3106646540","https://openalex.org/W6884876288","https://openalex.org/W4386598220","https://openalex.org/W3154050891","https://openalex.org/W3135958856","https://openalex.org/W7015241819","https://openalex.org/W3210206252","https://openalex.org/W3206305878","https://openalex.org/W6902890523","https://openalex.org/W7048025264"],"abstract_inverted_index":{"In":[0,62,86],"self-supervised":[1,71,95,157,189],"learning,":[2],"one":[3,47,143],"trains":[4],"a":[5,9,14,32,67,137,141,155,175],"model":[6,30,52,96,139],"to":[7,27,31,48,140,153,196],"solve":[8],"so-called":[10],"pretext":[11,58,130],"task":[12],"on":[13,163,201],"dataset":[15],"without":[16],"the":[17,38,50,91,94,98,128,164,182],"need":[18],"for":[19,56,70],"human":[20],"annotation.":[21],"The":[22],"main":[23],"objective,":[24],"however,":[25],"is":[26,43],"transfer":[28,41,133],"this":[29,63,151],"target":[33,60],"domain":[34],"and":[35,59,78,83,144,172,191],"task.":[36],"Currently,":[37],"most":[39],"effective":[40],"strategy":[42],"fine-tuning,":[44],"which":[45,159],"restricts":[46],"use":[49,150],"same":[51,129],"or":[53],"parts":[54],"thereof":[55],"both":[57],"tasks.":[61],"paper,":[64],"we":[65],"present":[66],"novel":[68,156],"framework":[69,89,152],"learning":[72,190,193],"that":[73,118],"overcomes":[74],"limitations":[75],"in":[76,167,198],"designing":[77],"comparing":[79],"different":[80],"tasks,":[81],"models,":[82],"data":[84],"domains.":[85],"particular,":[87],"our":[88],"decouples":[90],"structure":[92],"of":[93],"from":[97,127,194],"final":[99],"task-specific":[100],"fine-tuned":[101],"model.":[102],"This":[103],"allows":[104],"us":[105],"to:":[106],"1)":[107],"quantitatively":[108],"assess":[109],"previously":[110],"incompatible":[111],"models":[112,122,186],"including":[113],"handcrafted":[114],"features;":[115],"2)":[116],"show":[117],"deeper":[119],"neural":[120],"network":[121],"can":[123],"learn":[124],"better":[125],"representations":[126],"task;":[131],"3)":[132],"knowledge":[134],"learned":[135,179],"with":[136],"deep":[138],"shallower":[142],"thus":[145],"boost":[146],"its":[147],"learning.":[148],"We":[149],"design":[154],"task,":[158],"achieves":[160],"state-of-the-art":[161],"performance":[162],"common":[165],"benchmarks":[166],"PASCAL":[168,202],"VOC":[169,203],"2007,":[170],"ILSVRC12":[171],"Places":[173],"by":[174],"significant":[176],"margin.":[177],"Our":[178],"features":[180],"shrink":[181],"mAP":[183],"gap":[184],"between":[185],"trained":[187],"via":[188],"supervised":[192],"5.9%":[195],"2.6%":[197],"object":[199],"detection":[200],"2007.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":50},{"year":2021,"cited_by_count":69},{"year":2020,"cited_by_count":62},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2018-05-07T00:00:00"}