{"id":"https://openalex.org/W4304083163","doi":"https://doi.org/10.1145/3503161.3548069","title":"MC-SLT: Towards Low-Resource Signer-Adaptive Sign Language Translation","display_name":"MC-SLT: Towards Low-Resource Signer-Adaptive Sign Language Translation","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304083163","doi":"https://doi.org/10.1145/3503161.3548069"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548069","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548069","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"Proceedings of the 30th ACM International Conference on Multimedia","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/A5102011966","display_name":"Tao Jin","orcid":"https://orcid.org/0000-0003-3564-1628"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Jin","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079260216","display_name":"Zhou Zhao","orcid":"https://orcid.org/0000-0001-6121-0384"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437809","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0003-2188-8195"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044933782","display_name":"Xingshan Zeng","orcid":"https://orcid.org/0000-0002-0455-5519"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingshan Zeng","raw_affiliation_strings":["Huawei Noah's Ark Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1646,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76730657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4939","last_page":"4947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9904000163078308,"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8462810516357422},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5319291353225708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5251258015632629},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5141392350196838},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4522455632686615},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4445649981498718},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3474806547164917},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3284158408641815},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2083737850189209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8462810516357422},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5319291353225708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5251258015632629},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5141392350196838},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4522455632686615},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4445649981498718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3474806547164917},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3284158408641815},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2083737850189209},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548069","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548069","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1371433402","display_name":null,"funder_award_id":"No.61836002 No.62072397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1506441995","https://openalex.org/W1593271688","https://openalex.org/W2100969003","https://openalex.org/W2121341364","https://openalex.org/W2127141656","https://openalex.org/W2131058287","https://openalex.org/W2147954049","https://openalex.org/W2154511929","https://openalex.org/W2165108269","https://openalex.org/W2194775991","https://openalex.org/W2317824680","https://openalex.org/W2346219687","https://openalex.org/W2522165970","https://openalex.org/W2759302818","https://openalex.org/W2788334925","https://openalex.org/W2788768841","https://openalex.org/W2799020610","https://openalex.org/W2908497602","https://openalex.org/W2965778995","https://openalex.org/W2970060478","https://openalex.org/W2997197207","https://openalex.org/W3034354010","https://openalex.org/W3034765865","https://openalex.org/W3126451397","https://openalex.org/W3173290664","https://openalex.org/W3174805484","https://openalex.org/W3176512504","https://openalex.org/W3206487321","https://openalex.org/W4285216477"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W17155033","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W3207760230","https://openalex.org/W1496222301"],"abstract_inverted_index":{"One":[0],"of":[1,8,36,59,97,100,154,171],"the":[2,17,20,27,29,56,94,114,121,126,134,152,158,167,174],"challenging":[3,65],"factors":[4],"in":[5],"real":[6],"application":[7],"sign":[9],"language":[10],"translation":[11,22],"(SLT)":[12],"is":[13,35],"inter-signer":[14],"variation.":[15],"With":[16],"assumption":[18],"that":[19,74,131],"pre-trained":[21],"model":[23,88,159],"cannot":[24],"cover":[25],"all":[26],"signers,":[28,106],"adaptation":[30],"capability":[31],"for":[32,48,113,161,173,182],"unseen":[33],"signers":[34],"great":[37],"concern.":[38],"In":[39],"this":[40,64],"paper,":[41],"we":[42,67,107,124],"take":[43],"a":[44,70,81,86,90,144,179],"completely":[45],"different":[46,101],"perspective":[47],"SLT,":[49,52],"called":[50],"signer-adaptive":[51,87,175],"which":[53],"mainly":[54],"considers":[55],"transferable":[57],"ability":[58],"SLT":[60,172],"systems.":[61],"To":[62],"attack":[63],"problem,":[66],"propose":[68],"MC-SLT,":[69],"novel":[71],"meta-learning":[72],"framework":[73],"could":[75],"exploit":[76],"additional":[77],"new-signer":[78],"data":[79],"via":[80,89],"support":[82],"set,":[83],"and":[84,149,177],"output":[85],"few-gradient-step":[91],"update.":[92],"Considering":[93],"various":[95],"degrees":[96],"style":[98],"discrepancies":[99],"words":[102],"performed":[103],"by":[104],"multiple":[105],"further":[108],"devise":[109],"diversity-aware":[110],"meta-adaptive":[111],"weights":[112],"token-wise":[115],"cross-entropy":[116],"losses.":[117],"Besides,":[118],"to":[119,140,156],"improve":[120,157],"training":[122],"robustness,":[123],"adopt":[125],"self-guided":[127],"curriculum":[128],"learning":[129,162],"scheme":[130],"first":[132],"captures":[133],"global":[135],"curricula":[136,153],"from":[137],"each":[138],"signer":[139],"avoid":[141],"falling":[142],"into":[143],"bad":[145],"local":[146],"optimum":[147],"early,":[148],"then":[150],"learns":[151],"individualities":[155],"adaptability":[160],"signer-specific":[163],"knowledge.":[164],"We":[165],"re-construct":[166],"existing":[168],"standard":[169],"datasets":[170],"setting":[176],"establish":[178],"new":[180],"benchmark":[181],"subsequent":[183],"research.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
