{"id":"https://openalex.org/W3135975972","doi":"https://doi.org/10.1109/tpami.2021.3129870","title":"Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types","display_name":"Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types","publication_year":2021,"publication_date":"2021-11-23","ids":{"openalex":"https://openalex.org/W3135975972","doi":"https://doi.org/10.1109/tpami.2021.3129870","mag":"3135975972","pmid":"https://pubmed.ncbi.nlm.nih.gov/34813469"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3129870","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3129870","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/9940446/09625801.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/34/9940446/09625801.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056112540","display_name":"Thomas Mensink","orcid":"https://orcid.org/0000-0002-5730-713X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Mensink","raw_affiliation_strings":["Google Research, Amsterdam, Netherlands","[Google Research, Google Inc, 93176 Amsterdam, NH, Netherlands, (e-mail: mensink@google.com)]"],"raw_orcid":"https://orcid.org/0000-0002-5730-713X","affiliations":[{"raw_affiliation_string":"Google Research, Amsterdam, Netherlands","institution_ids":[]},{"raw_affiliation_string":"[Google Research, Google Inc, 93176 Amsterdam, NH, Netherlands, (e-mail: mensink@google.com)]","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020938231","display_name":"Jasper Uijlings","orcid":"https://orcid.org/0000-0002-3288-7377"},"institutions":[{"id":"https://openalex.org/I4210100430","display_name":"Google (Switzerland)","ror":"https://ror.org/014f9c269","country_code":"CH","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210100430","https://openalex.org/I4210128969"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jasper Uijlings","raw_affiliation_strings":["Google Research, Zurich, Switzerland","[Google Research, Google Inc, 93176 Zurich, ZH, Switzerland, (e-mail: jrru@google.com)]"],"raw_orcid":"https://orcid.org/0000-0002-3288-7377","affiliations":[{"raw_affiliation_string":"Google Research, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210100430"]},{"raw_affiliation_string":"[Google Research, Google Inc, 93176 Zurich, ZH, Switzerland, (e-mail: jrru@google.com)]","institution_ids":["https://openalex.org/I4210100430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101831247","display_name":"Alina Kuznetsova","orcid":"https://orcid.org/0000-0002-9648-5457"},"institutions":[{"id":"https://openalex.org/I4210100430","display_name":"Google (Switzerland)","ror":"https://ror.org/014f9c269","country_code":"CH","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210100430","https://openalex.org/I4210128969"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alina Kuznetsova","raw_affiliation_strings":["Google Research, Zurich, Switzerland","[Google Research, Google Inc, 93176 Zurich, ZH, Switzerland, (e-mail: akuznetsa@google.com)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210100430"]},{"raw_affiliation_string":"[Google Research, Google Inc, 93176 Zurich, ZH, Switzerland, (e-mail: akuznetsa@google.com)]","institution_ids":["https://openalex.org/I4210100430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039948189","display_name":"Michael Gygli","orcid":"https://orcid.org/0000-0001-5241-481X"},"institutions":[{"id":"https://openalex.org/I4210100430","display_name":"Google (Switzerland)","ror":"https://ror.org/014f9c269","country_code":"CH","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210100430","https://openalex.org/I4210128969"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Gygli","raw_affiliation_strings":["Google Research, Zurich, Switzerland","[Google Research, Google Inc, 93176 Zurich, ZH, Switzerland, (e-mail: michael@gygli.net)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210100430"]},{"raw_affiliation_string":"[Google Research, Google Inc, 93176 Zurich, ZH, Switzerland, (e-mail: michael@gygli.net)]","institution_ids":["https://openalex.org/I4210100430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101423778","display_name":"Vittorio Ferrari","orcid":"https://orcid.org/0000-0002-1942-233X"},"institutions":[{"id":"https://openalex.org/I4210100430","display_name":"Google (Switzerland)","ror":"https://ror.org/014f9c269","country_code":"CH","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210100430","https://openalex.org/I4210128969"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Vittorio Ferrari","raw_affiliation_strings":["Google Research, Zurich, Switzerland","[Google Research, Google Inc, 93176 Zurich, ZH, Switzerland, (e-mail: vittoferrari@google.com)]"],"raw_orcid":"https://orcid.org/0000-0002-1942-233X","affiliations":[{"raw_affiliation_string":"Google Research, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210100430"]},{"raw_affiliation_string":"[Google Research, Google Inc, 93176 Zurich, ZH, Switzerland, (e-mail: vittoferrari@google.com)]","institution_ids":["https://openalex.org/I4210100430"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8198,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87345197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"44","issue":"12","first_page":"9298","last_page":"9314"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9962000250816345,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9943000078201294,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.8398305177688599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7860206365585327},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7361335754394531},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6754316091537476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6370552778244019},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5564624071121216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5293135046958923},{"id":"https://openalex.org/keywords/inductive-transfer","display_name":"Inductive transfer","score":0.5264052748680115},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49558722972869873},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4796062707901001},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4526311457157135},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4514275789260864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33631789684295654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3218955397605896},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.2165108323097229},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.10052239894866943}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8398305177688599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7860206365585327},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7361335754394531},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6754316091537476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6370552778244019},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5564624071121216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5293135046958923},{"id":"https://openalex.org/C77075516","wikidata":"https://www.wikidata.org/wiki/Q6027324","display_name":"Inductive transfer","level":5,"score":0.5264052748680115},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49558722972869873},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4796062707901001},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4526311457157135},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4514275789260864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33631789684295654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3218955397605896},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.2165108323097229},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.10052239894866943},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1109/tpami.2021.3129870","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3129870","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/9940446/09625801.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34813469","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34813469","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:2103.13318","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.13318","pdf_url":"https://arxiv.org/pdf/2103.13318","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":"doi:10.48550/arxiv.2103.13318","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.13318","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":"Preprint"},{"id":"mag:3135975972","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":"doi:10.1109/tpami.2021.3129870","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3129870","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/9940446/09625801.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3135975972.pdf","grobid_xml":"https://content.openalex.org/works/W3135975972.grobid-xml"},"referenced_works_count":167,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1536680647","https://openalex.org/W1722318740","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1923184257","https://openalex.org/W1985238052","https://openalex.org/W1985514943","https://openalex.org/W1992178727","https://openalex.org/W2015563892","https://openalex.org/W2021259423","https://openalex.org/W2037227137","https://openalex.org/W2080873731","https://openalex.org/W2098883970","https://openalex.org/W2100031962","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2125215748","https://openalex.org/W2159291411","https://openalex.org/W2171740948","https://openalex.org/W2171943915","https://openalex.org/W2194775991","https://openalex.org/W2203224402","https://openalex.org/W2307770531","https://openalex.org/W2340897893","https://openalex.org/W2395611524","https://openalex.org/W2397830550","https://openalex.org/W2412782625","https://openalex.org/W2510153535","https://openalex.org/W2560647685","https://openalex.org/W2561196672","https://openalex.org/W2562192638","https://openalex.org/W2575615142","https://openalex.org/W2584009249","https://openalex.org/W2591924527","https://openalex.org/W2593768305","https://openalex.org/W2594519801","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2605488490","https://openalex.org/W2613718673","https://openalex.org/W2617027347","https://openalex.org/W2627183927","https://openalex.org/W2737258237","https://openalex.org/W2743627947","https://openalex.org/W2753160622","https://openalex.org/W2754560798","https://openalex.org/W2772465720","https://openalex.org/W2781228439","https://openalex.org/W2794363191","https://openalex.org/W2796346823","https://openalex.org/W2798836702","https://openalex.org/W2799269579","https://openalex.org/W2804935296","https://openalex.org/W2885018852","https://openalex.org/W2901026139","https://openalex.org/W2901870313","https://openalex.org/W2907137919","https://openalex.org/W2935837427","https://openalex.org/W2946862972","https://openalex.org/W2948604360","https://openalex.org/W2949736877","https://openalex.org/W2949813473","https://openalex.org/W2949907962","https://openalex.org/W2950493473","https://openalex.org/W2962685835","https://openalex.org/W2962749812","https://openalex.org/W2962807621","https://openalex.org/W2962843773","https://openalex.org/W2962966271","https://openalex.org/W2963078159","https://openalex.org/W2963107255","https://openalex.org/W2963150697","https://openalex.org/W2963211188","https://openalex.org/W2963341924","https://openalex.org/W2963351448","https://openalex.org/W2963488291","https://openalex.org/W2963703197","https://openalex.org/W2963741406","https://openalex.org/W2963826681","https://openalex.org/W2963870446","https://openalex.org/W2964105864","https://openalex.org/W2964121744","https://openalex.org/W2964137095","https://openalex.org/W2964162504","https://openalex.org/W2964185501","https://openalex.org/W2964288524","https://openalex.org/W2965954137","https://openalex.org/W2975758481","https://openalex.org/W2982102242","https://openalex.org/W2982453938","https://openalex.org/W2986782335","https://openalex.org/W2989604896","https://openalex.org/W2989782618","https://openalex.org/W2990230185","https://openalex.org/W2995049146","https://openalex.org/W2999219213","https://openalex.org/W3008526508","https://openalex.org/W3012573144","https://openalex.org/W3014641072","https://openalex.org/W3015298734","https://openalex.org/W3016119009","https://openalex.org/W3034836583","https://openalex.org/W3034858314","https://openalex.org/W3034978746","https://openalex.org/W3035086574","https://openalex.org/W3035272520","https://openalex.org/W3035564946","https://openalex.org/W3043960864","https://openalex.org/W3088708006","https://openalex.org/W3091905774","https://openalex.org/W3094502228","https://openalex.org/W3097217077","https://openalex.org/W3097651496","https://openalex.org/W3100859887","https://openalex.org/W3101821705","https://openalex.org/W3108975329","https://openalex.org/W3109055604","https://openalex.org/W3109083691","https://openalex.org/W3118608800","https://openalex.org/W3126004537","https://openalex.org/W3131254173","https://openalex.org/W3132413796","https://openalex.org/W3157061805","https://openalex.org/W3171007011","https://openalex.org/W3173206925","https://openalex.org/W3176276772","https://openalex.org/W3176630026","https://openalex.org/W4288083516","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6686583229","https://openalex.org/W6711868289","https://openalex.org/W6712616374","https://openalex.org/W6713132643","https://openalex.org/W6717697761","https://openalex.org/W6725762072","https://openalex.org/W6730623217","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6738045163","https://openalex.org/W6743661861","https://openalex.org/W6746963075","https://openalex.org/W6750254146","https://openalex.org/W6756131066","https://openalex.org/W6757658208","https://openalex.org/W6758126075","https://openalex.org/W6760424586","https://openalex.org/W6761108903","https://openalex.org/W6768455480","https://openalex.org/W6768532476","https://openalex.org/W6770924893","https://openalex.org/W6774314701","https://openalex.org/W6774908330","https://openalex.org/W6774983715","https://openalex.org/W6775760210","https://openalex.org/W6775823862","https://openalex.org/W6779101013","https://openalex.org/W6781192051","https://openalex.org/W6783266986","https://openalex.org/W6783596713","https://openalex.org/W6784333009","https://openalex.org/W6787092288","https://openalex.org/W6787972765","https://openalex.org/W6790391859"],"related_works":["https://openalex.org/W2194775991","https://openalex.org/W3191664608","https://openalex.org/W3097217077","https://openalex.org/W2117539524","https://openalex.org/W3024741005","https://openalex.org/W3167221503","https://openalex.org/W2093755966","https://openalex.org/W3209246688","https://openalex.org/W1438166973","https://openalex.org/W2989720203","https://openalex.org/W2891175882","https://openalex.org/W2267737560","https://openalex.org/W3022280754","https://openalex.org/W2947795781","https://openalex.org/W2777032727","https://openalex.org/W2963689319","https://openalex.org/W3111148980","https://openalex.org/W3195489153","https://openalex.org/W2743185749","https://openalex.org/W2182177114"],"abstract_inverted_index":{"Transfer":[0],"learning":[1,13,22,55,85,136,173],"enables":[2],"to":[3,11,67,123,159,178,223],"re-use":[4],"knowledge":[5],"learned":[6],"on":[7,38,45,171,268],"a":[8,14,33,190],"source":[9,142,191,212,244,271],"task":[10,103,150,166,245,257,274],"help":[12],"target":[15,47,144,221,273],"task.":[16,48],"A":[17],"simple":[18],"form":[19],"of":[20,53,83,163,219,242,251],"transfer":[21,54,84,135,172,255],"is":[23,65,201,246,265],"common":[24],"in":[25,62],"current":[26],"state-of-the-art":[27],"computer":[28,125],"vision":[29,126],"models,":[30],"i.e.,":[31],"pre-training":[32],"model":[34],"for":[35,185,206],"image":[36,89,148,164,199,217,240],"classification":[37],"the":[39,60,141,161,198,202,211,216,220,229,239,243,252,270],"ILSVRC":[40],"dataset,":[41],"and":[42,59,102,143,168,181,272],"then":[43],"fine-tune":[44],"any":[46],"However,":[49],"previous":[50],"systematic":[51],"studies":[52],"have":[56],"been":[57],"limited":[58],"circumstances":[61],"which":[63,192],"it":[64],"expected":[66],"work":[68],"are":[69,115],"not":[70],"fully":[71],"understood.":[72],"In":[73,128],"this":[74],"paper":[75],"we":[76,130,232],"carry":[77,131],"out":[78,132],"an":[79],"extensive":[80],"experimental":[81],"exploration":[82],"across":[86,256],"vastly":[87],"different":[88,147],"domains":[90],"(consumer":[91],"photos,":[92],"autonomous":[93],"driving,":[94],"aerial":[95],"imagery,":[96],"underwater,":[97],"indoor":[98],"scenes,":[99],"synthetic,":[100],"close-ups)":[101],"types":[104,121,258],"(semantic":[105],"segmentation,":[106],"object":[107],"detection,":[108],"depth":[109],"estimation,":[110],"keypoint":[111],"detection).":[112],"Importantly,":[113],"these":[114,157],"all":[116],"complex,":[117],"structured":[118],"output":[119],"tasks":[120,187],"relevant":[122],"modern":[124],"applications.":[127],"total":[129],"over":[133],"2000":[134],"experiments,":[137],"including":[138],"many":[139],"where":[140],"come":[145],"from":[146],"domains,":[149],"types,":[151],"or":[152],"both.":[153],"We":[154],"systematically":[155],"analyze":[156],"experiments":[158],"understand":[160],"impact":[162],"domain,":[165],"type,":[167],"dataset":[169,213,222],"size":[170],"performance.":[174],"Our":[175],"study":[176],"leads":[177],"several":[179],"insights":[180],"concrete":[182],"recommendations:":[183],"(1)":[184],"most":[186,203],"there":[188],"exists":[189],"significantly":[193],"outperforms":[194],"ILSVRC'12":[195],"pre-training;":[196],"(2)":[197],"domain":[200,218,241],"important":[204],"factor":[205],"achieving":[207],"positive":[208],"transfer;":[209],"(3)":[210],"should":[214],"include":[215],"achieve":[224],"best":[225],"results;":[226],"(4)":[227],"at":[228],"same":[230],"time,":[231],"observe":[233],"only":[234],"small":[235],"negative":[236],"effects":[237],"when":[238],"much":[247],"broader":[248],"than":[249],"that":[250],"target;":[253],"(5)":[254],"can":[259],"be":[260],"beneficial,":[261],"but":[262],"its":[263],"success":[264],"heavily":[266],"dependent":[267],"both":[269],"types.":[275]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}