{"id":"https://openalex.org/W4293202879","doi":"https://doi.org/10.1109/tmm.2022.3171108","title":"Dual Relation Network for Scene Text Recognition","display_name":"Dual Relation Network for Scene Text Recognition","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W4293202879","doi":"https://doi.org/10.1109/tmm.2022.3171108"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3171108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3171108","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5100351521","display_name":"Ming Li","orcid":"https://orcid.org/0000-0003-3163-5992"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101784533","display_name":"Bin Fu","orcid":"https://orcid.org/0000-0002-1526-8654"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Fu","raw_affiliation_strings":["Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1526-8654","affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325120","display_name":"Han Chen","orcid":"https://orcid.org/0000-0002-6315-802X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Chen","raw_affiliation_strings":["Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056327997","display_name":"Junjun He","orcid":"https://orcid.org/0000-0002-1813-1784"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun He","raw_affiliation_strings":["Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1813-1784","affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748135","display_name":"Yu Qiao","orcid":"https://orcid.org/0000-0002-1889-2567"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qiao","raw_affiliation_strings":["Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","Shanghai AI Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1889-2567","affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7289,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68303889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"4094","last_page":"4107"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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":0.8422304391860962},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.773438572883606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311570405960083},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.608554482460022},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5970995426177979},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5369989275932312},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5144646167755127},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5119656324386597},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4950391352176666},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47911882400512695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.465949147939682},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4294719099998474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16711831092834473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8422304391860962},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.773438572883606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311570405960083},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.608554482460022},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5970995426177979},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5369989275932312},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5144646167755127},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5119656324386597},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4950391352176666},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47911882400512695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.465949147939682},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4294719099998474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16711831092834473},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3171108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3171108","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W603908379","https://openalex.org/W1491389626","https://openalex.org/W1686810756","https://openalex.org/W1895191496","https://openalex.org/W1922126009","https://openalex.org/W1971822075","https://openalex.org/W1978729128","https://openalex.org/W1981283549","https://openalex.org/W1988461287","https://openalex.org/W1998042868","https://openalex.org/W2008806374","https://openalex.org/W2049951199","https://openalex.org/W2053317383","https://openalex.org/W2064675550","https://openalex.org/W2112796928","https://openalex.org/W2124386111","https://openalex.org/W2128409098","https://openalex.org/W2144554289","https://openalex.org/W2146248127","https://openalex.org/W2146835493","https://openalex.org/W2148819429","https://openalex.org/W2194187530","https://openalex.org/W2194775991","https://openalex.org/W2343052201","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2547080737","https://openalex.org/W2549139847","https://openalex.org/W2560023338","https://openalex.org/W2593539516","https://openalex.org/W2601564443","https://openalex.org/W2619328388","https://openalex.org/W2623281019","https://openalex.org/W2630837129","https://openalex.org/W2740767790","https://openalex.org/W2750938222","https://openalex.org/W2788069964","https://openalex.org/W2788840914","https://openalex.org/W2790733316","https://openalex.org/W2795619303","https://openalex.org/W2798791840","https://openalex.org/W2810983211","https://openalex.org/W2894730515","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963233387","https://openalex.org/W2963327605","https://openalex.org/W2963517393","https://openalex.org/W2963526661","https://openalex.org/W2963648432","https://openalex.org/W2963712589","https://openalex.org/W2964309882","https://openalex.org/W2965066169","https://openalex.org/W2981689412","https://openalex.org/W2983116453","https://openalex.org/W2983446232","https://openalex.org/W2986036729","https://openalex.org/W2991062542","https://openalex.org/W2998382406","https://openalex.org/W3002645628","https://openalex.org/W3004846386","https://openalex.org/W3005436539","https://openalex.org/W3012138014","https://openalex.org/W3015468748","https://openalex.org/W3034447740","https://openalex.org/W3034885317","https://openalex.org/W3046953693","https://openalex.org/W3047669229","https://openalex.org/W3082397598","https://openalex.org/W3088146056","https://openalex.org/W3106228955","https://openalex.org/W3106271744","https://openalex.org/W3110267192","https://openalex.org/W3113987534","https://openalex.org/W3136420864","https://openalex.org/W3139633126","https://openalex.org/W3154631726","https://openalex.org/W3175618949","https://openalex.org/W3181186176","https://openalex.org/W3186819370","https://openalex.org/W4297775537","https://openalex.org/W6600284362","https://openalex.org/W6618372016","https://openalex.org/W6629590909","https://openalex.org/W6637373629","https://openalex.org/W6649973027","https://openalex.org/W6737664043","https://openalex.org/W6739696289","https://openalex.org/W6748481559","https://openalex.org/W6776048684"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Local":[0],"visual":[1,112,121],"and":[2,30,48,79,114,131,187],"long-range":[3,33,55,116,140],"contextual":[4,56,117,141],"features":[5,25,63,98,134],"yield":[6],"two":[7],"complementary":[8,97],"cues":[9],"for":[10,52,103],"human":[11],"reading":[12],"text":[13,19,105],"in":[14,61,99,193],"natural":[15],"scene.":[16],"Existing":[17],"scene":[18,104],"recognition":[20],"methods":[21,178],"mainly":[22],"extract":[23,96,132],"local":[24,111,120],"at":[26,35],"a":[27,36,91,100,110,115,124,144,161],"low":[28],"level":[29],"then":[31],"model":[32,128],"dependencies":[34],"high":[37],"level,":[38],"this":[39,87],"sequential":[40],"pipeline":[41],"may":[42],"be":[43,166],"sub-optimal":[44],"to":[45,95,127,149],"construct":[46],"complete":[47],"effective":[49,147],"representation.":[50],"Except":[51],"high-level":[53],"features,":[54],"relation":[57,93,158],"is":[58,160],"of":[59,109,135],"importance":[60],"low-level":[62],"as":[64],"well":[65],"since":[66],"it":[67],"can":[68,165],"help":[69],"separate":[70],"different":[71,136],"characters":[72,78],"based":[73],"on":[74,182],"the":[75,82,139,194],"intervals":[76],"between":[77],"thus":[80],"enhance":[81],"character":[83],"features.":[84],"To":[85],"address":[86],"issue,":[88],"we":[89],"develop":[90],"dual":[92,157],"module":[94,159],"parallel":[101],"manner":[102],"recognition,":[106],"which":[107,164],"consists":[108],"branch":[113,122,142],"branch.":[118],"The":[119],"employs":[123],"topological-aware":[125],"operation":[126],"intra-character":[129],"characteristic":[130],"discriminative":[133],"characters.":[137],"Meanwhile,":[138],"utilizes":[143],"simple":[145],"but":[146],"strategy":[148],"incorporate":[150],"inter-character":[151],"relations":[152],"into":[153,169],"feature":[154],"maps.":[155],"Our":[156],"plug-and-play":[162],"block":[163],"easily":[167],"incorporated":[168],"modern":[170],"deep":[171],"architectures.":[172],"Experimental":[173],"results":[174],"demonstrate":[175],"that":[176],"our":[177],"achieved":[179],"top":[180],"performance":[181],"several":[183],"standard":[184],"benchmarks.":[185],"Code":[186],"models":[188],"will":[189],"become":[190],"publicly":[191],"available":[192],"future.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}