{"id":"https://openalex.org/W4313166484","doi":"https://doi.org/10.1109/mmsp55362.2022.9949180","title":"Robust Metric Boosts Transfer","display_name":"Robust Metric Boosts Transfer","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4313166484","doi":"https://doi.org/10.1109/mmsp55362.2022.9949180"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp55362.2022.9949180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949180","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025067720","display_name":"Qiancheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiancheng Yang","raw_affiliation_strings":["School of Computer Science, Wuhan University,Hubei Luojia Laboratory,Wuhan,China","Hubei Luojia Laboratory, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University,Hubei Luojia Laboratory,Wuhan,China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039158745","display_name":"Yong Luo","orcid":"https://orcid.org/0000-0002-2296-6370"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Luo","raw_affiliation_strings":["School of Computer Science, Wuhan University,Hubei Luojia Laboratory,Wuhan,China","Hubei Luojia Laboratory, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University,Hubei Luojia Laboratory,Wuhan,China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020194895","display_name":"Han Hu","orcid":"https://orcid.org/0000-0001-7532-0496"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Hu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709810","display_name":"Xin Zhou","orcid":"https://orcid.org/0000-0003-0231-2895"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University,Singapore,639798"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University,Hubei Luojia Laboratory,Wuhan,China","Hubei Luojia Laboratory, School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University,Hubei Luojia Laboratory,Wuhan,China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["JD Explore Academy JD.com Inc,Beijing,China","JD Explore Academy JD.com Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD Explore Academy JD.com Inc,Beijing,China","institution_ids":["https://openalex.org/I4210103986"]},{"raw_affiliation_string":"JD Explore Academy JD.com Inc, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025067720"],"corresponding_institution_ids":["https://openalex.org/I196699116","https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33295309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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":0.9986000061035156,"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/T10860","display_name":"Speech and Audio Processing","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/metric","display_name":"Metric (unit)","score":0.8396885395050049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156351804733276},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6621658802032471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5512875914573669},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5314423441886902},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4972696602344513},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4968607723712921},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4834381341934204},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4239775538444519},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4168432354927063},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36177247762680054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25325489044189453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19369980692863464}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.8396885395050049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156351804733276},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6621658802032471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5512875914573669},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5314423441886902},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4972696602344513},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4968607723712921},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4834381341934204},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4239775538444519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4168432354927063},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36177247762680054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25325489044189453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19369980692863464},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp55362.2022.9949180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949180","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4545794572","display_name":null,"funder_award_id":"62002090,62276195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4798117554","display_name":null,"funder_award_id":"2021YFC3300200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W118019982","https://openalex.org/W1782590233","https://openalex.org/W1920864768","https://openalex.org/W1945616565","https://openalex.org/W2124961556","https://openalex.org/W2132898581","https://openalex.org/W2163352848","https://openalex.org/W2397149706","https://openalex.org/W2520774990","https://openalex.org/W2784163702","https://openalex.org/W2796679234","https://openalex.org/W2948077755","https://openalex.org/W2963125010","https://openalex.org/W2963460174","https://openalex.org/W2963466847","https://openalex.org/W2964005298","https://openalex.org/W2964116600","https://openalex.org/W2964271799","https://openalex.org/W2991645104","https://openalex.org/W3024272706","https://openalex.org/W3103152812","https://openalex.org/W3136070483","https://openalex.org/W4288359148","https://openalex.org/W4293846201","https://openalex.org/W6601848957","https://openalex.org/W6638046521","https://openalex.org/W6679847558","https://openalex.org/W6739868092","https://openalex.org/W6755310938","https://openalex.org/W6761175274","https://openalex.org/W6761839128","https://openalex.org/W6768030963","https://openalex.org/W6791230746"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2625725254","https://openalex.org/W2563912921"],"abstract_inverted_index":{"Transfer":[0],"metric":[1,8,38,61,77,87,102,130],"learning":[2,9],"(TML)":[3],"aims":[4],"to":[5,34,44,47,57,83,103,119,132],"improve":[6],"the":[7,20,36,48,85,101,104,112,125,128,137,142,147,153],"in":[10,94,141,146],"target":[11,105,117,129,143],"domains":[12,118],"by":[13,89,107],"transferring":[14],"knowledge":[15],"from":[16],"related":[17],"tasks,":[18],"where":[19],"distance":[21],"metrics":[22],"are":[23],"strong":[24],"and":[25,67,98,116],"reliable.":[26],"Existing":[27],"TML":[28,73],"approaches":[29],"only":[30],"focus":[31],"on":[32],"how":[33,56],"transfer":[35,66,100],"source":[37,49,60,86,115],"knowledge,":[39],"which":[40,110],"is":[41,63,139],"often":[42],"prone":[43],"be":[45,120,133],"over-fitting":[46],"domain.":[50,144],"In":[51,79],"this":[52],"paper,":[53],"we":[54,81,123],"study":[55],"train":[58],"a":[59,70,90],"that":[62,136],"appropriate":[64],"for":[65,75],"then":[68,99],"design":[69],"general":[71],"deep":[72,91],"method":[74],"effective":[76],"transfer.":[78],"particular,":[80],"propose":[82],"learn":[84],"parameterized":[88],"neural":[92],"network":[93,131],"an":[95],"adversarial":[96],"way":[97],"domain":[106],"embedding":[108],"imitation,":[109],"allows":[111],"inputs":[113],"of":[114,127,155],"heterogeneous.":[121],"Besides,":[122],"restrict":[124],"size":[126],"small":[134],"so":[135],"inference":[138],"efficient":[140],"Results":[145],"popular":[148],"face":[149],"verification":[150],"application":[151],"demonstrate":[152],"effectiveness":[154],"our":[156],"method.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
