{"id":"https://openalex.org/W4310609404","doi":"https://doi.org/10.1109/ialp57159.2022.9961322","title":"Text-Level Contrastive Learning for Scene Text Recognition","display_name":"Text-Level Contrastive Learning for Scene Text Recognition","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4310609404","doi":"https://doi.org/10.1109/ialp57159.2022.9961322"},"language":"en","primary_location":{"id":"doi:10.1109/ialp57159.2022.9961322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp57159.2022.9961322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Asian Language Processing (IALP)","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/A5102746971","display_name":"Junbin Zhuang","orcid":"https://orcid.org/0009-0009-5817-5181"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junbin Zhuang","raw_affiliation_strings":["School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China","School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027838882","display_name":"Yixuan Ren","orcid":"https://orcid.org/0009-0006-1584-6457"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Ren","raw_affiliation_strings":["School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China","School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904019","display_name":"Xia Li","orcid":"https://orcid.org/0000-0003-1651-8528"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China","School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102731013","display_name":"Zhanpeng Liang","orcid":"https://orcid.org/0000-0002-7758-7992"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanpeng Liang","raw_affiliation_strings":["Guangdong University of Foreign Studies,Financial division,Guangzhou,China","Financial division, Guangdong University of Foreign Studies, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Foreign Studies,Financial division,Guangzhou,China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"Financial division, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102746971"],"corresponding_institution_ids":["https://openalex.org/I186272606"],"apc_list":null,"apc_paid":null,"fwci":0.2012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48844577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"231","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9886999726295471,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9851999878883362,"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/computer-science","display_name":"Computer science","score":0.8090943098068237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6705446243286133},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6231793761253357},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5714483261108398},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5394298434257507},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.519987165927887},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5085886716842651},{"id":"https://openalex.org/keywords/argumentation-theory","display_name":"Argumentation theory","score":0.5002858638763428},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45382675528526306},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.42766374349594116},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22458094358444214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090943098068237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6705446243286133},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6231793761253357},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5714483261108398},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5394298434257507},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.519987165927887},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5085886716842651},{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.5002858638763428},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45382675528526306},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.42766374349594116},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22458094358444214},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp57159.2022.9961322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp57159.2022.9961322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G5849483634","display_name":null,"funder_award_id":"61976062","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":55,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1491389626","https://openalex.org/W1647671624","https://openalex.org/W1922126009","https://openalex.org/W1971822075","https://openalex.org/W1998042868","https://openalex.org/W2008806374","https://openalex.org/W2127141656","https://openalex.org/W2144554289","https://openalex.org/W2146835493","https://openalex.org/W2194187530","https://openalex.org/W2194775991","https://openalex.org/W2294053032","https://openalex.org/W2343052201","https://openalex.org/W2593572697","https://openalex.org/W2750938222","https://openalex.org/W2751748110","https://openalex.org/W2754613063","https://openalex.org/W2788069964","https://openalex.org/W2809273748","https://openalex.org/W2810983211","https://openalex.org/W2888894220","https://openalex.org/W2962957458","https://openalex.org/W2963526661","https://openalex.org/W2963626623","https://openalex.org/W2965066169","https://openalex.org/W2988326850","https://openalex.org/W2998382406","https://openalex.org/W3003642782","https://openalex.org/W3005680577","https://openalex.org/W3034447740","https://openalex.org/W3035449864","https://openalex.org/W3082701951","https://openalex.org/W3106271744","https://openalex.org/W3110267192","https://openalex.org/W3156636935","https://openalex.org/W3175618949","https://openalex.org/W3175855397","https://openalex.org/W3181186176","https://openalex.org/W3202415716","https://openalex.org/W4229030834","https://openalex.org/W4283805255","https://openalex.org/W4283819468","https://openalex.org/W4385245566","https://openalex.org/W6618372016","https://openalex.org/W6629590909","https://openalex.org/W6636915900","https://openalex.org/W6649973027","https://openalex.org/W6719819555","https://openalex.org/W6739901393","https://openalex.org/W6744133147","https://openalex.org/W6744179516","https://openalex.org/W6765990513","https://openalex.org/W6774314701","https://openalex.org/W6782806660"],"related_works":["https://openalex.org/W4256185029","https://openalex.org/W2141332034","https://openalex.org/W2337488240","https://openalex.org/W2762454042","https://openalex.org/W4388437769","https://openalex.org/W2064153856","https://openalex.org/W52290235","https://openalex.org/W3007362904","https://openalex.org/W1598849238","https://openalex.org/W756293569"],"abstract_inverted_index":{"Scene":[0],"text":[1,9,13,52,83,86],"recognition":[2],"(STR)":[3],"is":[4],"a":[5,44,72,79],"task":[6],"of":[7,20,41,61,82,94,118],"identifying":[8],"from":[10,43],"natural":[11],"scene":[12,51,85],"images.":[14],"Recently,":[15],"based":[16],"on":[17,38,101],"the":[18,48,59,91,112,116],"advantages":[19],"self-supervised":[21],"contrastive":[22,27,74],"learning,":[23],"some":[24],"studies":[25,35],"incorporate":[26],"learning":[28,75],"strategies":[29],"for":[30],"STR":[31,95],"task.":[32,96],"However,":[33],"these":[34],"mainly":[36],"focus":[37],"data":[39],"argumentation":[40],"images":[42,87],"visual":[45],"perspective,":[46],"ignoring":[47],"fact":[49],"that":[50],"often":[53],"contains":[54],"large":[55],"noise":[56],"and":[57,106,111],"has":[58],"characteristics":[60],"diversity.":[62],"For":[63],"addressing":[64],"this":[65,68],"issue,":[66],"in":[67,84],"paper,":[69],"we":[70],"propose":[71],"text-level":[73],"strategy":[76],"to":[77,88],"learn":[78],"better":[80],"representation":[81],"effectively":[89],"improve":[90],"prediction":[92],"performance":[93],"We":[97],"perform":[98],"extensive":[99],"experiments":[100],"several":[102],"public":[103],"benchmark":[104],"datasets":[105],"compare":[107],"with":[108],"baseline":[109],"models,":[110],"experimental":[113],"results":[114],"demonstrate":[115],"effectiveness":[117],"our":[119],"method.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}