{"id":"https://openalex.org/W4414757947","doi":"https://doi.org/10.1109/tip.2025.3614773","title":"Self-Supervised Discovery of Cross-Lingual Shared Knowledge for Continual Text Recognition","display_name":"Self-Supervised Discovery of Cross-Lingual Shared Knowledge for Continual Text Recognition","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414757947","doi":"https://doi.org/10.1109/tip.2025.3614773","pmid":"https://pubmed.ncbi.nlm.nih.gov/41037548"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3614773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3614773","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5034902731","display_name":"Xuexun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Qian Liu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2187-8598","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021275163","display_name":"Zhen-Duo Chen","orcid":"https://orcid.org/0000-0002-3481-4892"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-Duo Chen","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-3481-4892","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052168662","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-6901-5476"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-6901-5476","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086235570","display_name":"Xin-Shun Xu","orcid":"https://orcid.org/0000-0001-9972-7370"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Shun Xu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-9972-7370","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13601772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"6524","last_page":"6536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9162999987602234,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9162999987602234,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9075999855995178,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7117999792098999},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5080999732017517},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4934999942779541},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.49149999022483826},{"id":"https://openalex.org/keywords/knowledge-acquisition","display_name":"Knowledge acquisition","score":0.44130000472068787},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.42669999599456787},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42410001158714294},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.3747999966144562},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.3653999865055084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8560000061988831},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7117999792098999},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5080999732017517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5051000118255615},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4934999942779541},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.49149999022483826},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42410001158714294},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41600000858306885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3806000053882599},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.3747999966144562},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C2776604539","wikidata":"https://www.wikidata.org/wiki/Q6423395","display_name":"Knowledge sharing","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2825999855995178},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.26269999146461487},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.257099986076355},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3614773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3614773","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:41037548","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41037548","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2862969699","display_name":null,"funder_award_id":"ZR2024LZH002","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G513007275","display_name":null,"funder_award_id":"62202278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7923371280","display_name":null,"funder_award_id":"62202272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G98586731","display_name":null,"funder_award_id":"62172256","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"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1999954155","https://openalex.org/W2114315281","https://openalex.org/W2127141656","https://openalex.org/W2138290126","https://openalex.org/W2156935079","https://openalex.org/W2166912588","https://openalex.org/W2194187530","https://openalex.org/W2473930607","https://openalex.org/W2605572715","https://openalex.org/W2767245172","https://openalex.org/W2785383245","https://openalex.org/W2884282566","https://openalex.org/W2948734064","https://openalex.org/W2954929116","https://openalex.org/W2963114696","https://openalex.org/W2963788399","https://openalex.org/W2964189064","https://openalex.org/W2997749585","https://openalex.org/W2997864923","https://openalex.org/W3003868038","https://openalex.org/W3004846386","https://openalex.org/W3034856281","https://openalex.org/W3135454619","https://openalex.org/W3176276424","https://openalex.org/W3180392831","https://openalex.org/W3181186176","https://openalex.org/W3202415716","https://openalex.org/W4225541601","https://openalex.org/W4229030834","https://openalex.org/W4320481752","https://openalex.org/W4382463295","https://openalex.org/W4386057810","https://openalex.org/W4387968089","https://openalex.org/W4387968181","https://openalex.org/W4390871731","https://openalex.org/W4390874533","https://openalex.org/W4392911146","https://openalex.org/W4393148058","https://openalex.org/W4393148285","https://openalex.org/W4402753732","https://openalex.org/W4402754116","https://openalex.org/W4402774225","https://openalex.org/W4403780826","https://openalex.org/W4403791414","https://openalex.org/W4404238237","https://openalex.org/W4404294141","https://openalex.org/W4405784827","https://openalex.org/W4406258852","https://openalex.org/W4410810098"],"related_works":[],"abstract_inverted_index":{"Incremental":[0],"multilingual":[1,46,166],"text":[2,32,167],"recognition":[3,168],"(IMLTR)":[4],"aims":[5],"to":[6,19,87,123,185],"advance":[7],"continual":[8,162],"learning":[9,163],"by":[10,92],"retaining":[11],"knowledge":[12,70,82,91,151,157],"from":[13,35],"previously":[14],"learned":[15],"languages":[16],"while":[17,198],"adapting":[18],"new":[20],"ones.":[21],"Existing":[22],"methods":[23,186],"typically":[24],"perform":[25],"under":[26],"a":[27,36,66,117],"constrained":[28],"assumption":[29,42],"that":[30,187],"each":[31],"instance":[33],"originates":[34],"specific":[37],"single-language":[38],"domain.":[39],"However,":[40],"this":[41,62,111],"is":[43,85],"inaccurate":[44],"in":[45],"scenarios,":[47],"as":[48],"it":[49],"overlooks":[50],"the":[51,56,101,134,147,161,180],"inherent":[52],"cross-lingual":[53,69,156],"knowledge,":[54,113,141],"i.e.,":[55],"incremental":[57,128,165],"sharing":[58],"problem.":[59],"To":[60],"address":[61],"issue,":[63],"we":[64,114],"propose":[65],"novel":[67],"self-supervised":[68],"discovery":[71,83],"framework,":[72],"CrossKnow,":[73],"tailored":[74],"for":[75],"IMLTR":[76],"tasks.":[77],"Specifically,":[78],"an":[79],"innovative":[80],"shared":[81,90,112,140],"strategy":[84],"developed":[86],"identify":[88],"potential":[89],"leveraging":[93],"prediction":[94],"consistency":[95],"across":[96],"multiple":[97],"recognizers,":[98],"thus":[99],"eliminating":[100,199],"reliance":[102],"on":[103,171],"language":[104,120,190],"labels":[105],"of":[106,149,164,182,192],"all":[107],"characters.":[108],"Building":[109],"upon":[110],"further":[115],"design":[116],"multi-granularity,":[118],"multi-task":[119],"domain":[121],"discriminator":[122],"capture":[124],"dependency":[125],"relationships":[126],"among":[127],"languages,":[129],"which":[130],"could":[131],"adequately":[132],"guide":[133],"hierarchical":[135],"sequence":[136],"decoding.":[137],"By":[138],"mining":[139],"CrossKnow":[142,194],"can":[143],"not":[144],"only":[145],"mitigate":[146],"forgetting":[148],"old":[150],"but":[152],"also":[153],"efficiently":[154],"achieve":[155],"transfer,":[158],"thereby":[159],"promoting":[160],"models.":[169],"Experiments":[170],"two":[172],"widely":[173],"used":[174],"datasets,":[175],"MLT17":[176],"and":[177,202],"MLT19,":[178],"demonstrate":[179],"superiority":[181],"CrossKnow.":[183],"Compared":[184],"leverage":[188],"additional":[189],"supervision":[191],"characters,":[193],"achieves":[195],"competitive":[196],"performance":[197],"storage":[200],"overhead":[201],"improving":[203],"computation":[204],"efficiency.":[205]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}