{"id":"https://openalex.org/W3176754135","doi":"https://doi.org/10.1109/tmm.2021.3093727","title":"Boundary-Aware Arbitrary-Shaped Scene Text Detector With Learnable Embedding Network","display_name":"Boundary-Aware Arbitrary-Shaped Scene Text Detector With Learnable Embedding Network","publication_year":2021,"publication_date":"2021-06-30","ids":{"openalex":"https://openalex.org/W3176754135","doi":"https://doi.org/10.1109/tmm.2021.3093727","mag":"3176754135"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3093727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3093727","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/A5054620019","display_name":"Mengting Xing","orcid":"https://orcid.org/0000-0002-7285-6671"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengting Xing","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078162380","display_name":"Hongtao Xie","orcid":"https://orcid.org/0000-0002-6249-5315"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Xie","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061330948","display_name":"Qingfeng Tan","orcid":"https://orcid.org/0000-0002-9758-3470"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfeng Tan","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008604905","display_name":"Shancheng Fang","orcid":"https://orcid.org/0000-0002-3100-3664"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shancheng Fang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427468","display_name":"Yuxin Wang","orcid":"https://orcid.org/0000-0002-0228-6220"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjun Zha","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5054620019"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.6797,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.71165406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"24","issue":null,"first_page":"3129","last_page":"3143"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.984499990940094,"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":0.6895449161529541},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6809886693954468},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5949877500534058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.572845995426178},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5482937097549438},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47074586153030396},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46690115332603455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46495211124420166},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4512478709220886},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4486803412437439},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19448629021644592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895449161529541},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6809886693954468},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5949877500534058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.572845995426178},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5482937097549438},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47074586153030396},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46690115332603455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46495211124420166},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4512478709220886},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4486803412437439},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19448629021644592},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3093727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3093727","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":[],"awards":[{"id":"https://openalex.org/G1484805094","display_name":null,"funder_award_id":"WK3480000011","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3316061764","display_name":null,"funder_award_id":"62022076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6179918720","display_name":null,"funder_award_id":"U1936210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8484508961","display_name":null,"funder_award_id":"61972105","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1673310716","https://openalex.org/W1903029394","https://openalex.org/W1988461287","https://openalex.org/W2108598243","https://openalex.org/W2144554289","https://openalex.org/W2194775991","https://openalex.org/W2343052201","https://openalex.org/W2519818067","https://openalex.org/W2547080737","https://openalex.org/W2565639579","https://openalex.org/W2593539516","https://openalex.org/W2601564443","https://openalex.org/W2604735854","https://openalex.org/W2605076167","https://openalex.org/W2605982830","https://openalex.org/W2749895778","https://openalex.org/W2772800855","https://openalex.org/W2810028092","https://openalex.org/W2810983211","https://openalex.org/W2902494497","https://openalex.org/W2953894958","https://openalex.org/W2955058313","https://openalex.org/W2962810613","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963167763","https://openalex.org/W2963299604","https://openalex.org/W2963353821","https://openalex.org/W2963398399","https://openalex.org/W2963647456","https://openalex.org/W2963899311","https://openalex.org/W2964065044","https://openalex.org/W2964685115","https://openalex.org/W2965512000","https://openalex.org/W2967615747","https://openalex.org/W2968226676","https://openalex.org/W2970910956","https://openalex.org/W2981689412","https://openalex.org/W2988098900","https://openalex.org/W2989604896","https://openalex.org/W2990361805","https://openalex.org/W2991626090","https://openalex.org/W2997351497","https://openalex.org/W2997371611","https://openalex.org/W2998621280","https://openalex.org/W3012573144","https://openalex.org/W3027134841","https://openalex.org/W3034681942","https://openalex.org/W3035449864","https://openalex.org/W3035679705","https://openalex.org/W3092834961","https://openalex.org/W3093046205","https://openalex.org/W3106228955","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6637131181","https://openalex.org/W6689062947","https://openalex.org/W6730410022","https://openalex.org/W6739901393","https://openalex.org/W6746206475"],"related_works":["https://openalex.org/W3041719871","https://openalex.org/W2546871836","https://openalex.org/W2907667403","https://openalex.org/W2897195263","https://openalex.org/W2006443041","https://openalex.org/W2151600032","https://openalex.org/W3169504557","https://openalex.org/W2106595108","https://openalex.org/W2136476704","https://openalex.org/W2142048117"],"abstract_inverted_index":{"Benefiting":[0],"from":[1,61],"the":[2,49,54,74,80,91,117,123,136,149,185,227,248],"popularity":[3],"of":[4,82,126,179,187,229,235],"deep":[5],"learning":[6],"theory,":[7],"scene":[8],"text":[9,20,23,31,83,107,180],"detection":[10],"algorithms":[11],"have":[12],"developed":[13],"rapidly":[14],"in":[15,32,148,200,204],"recent":[16],"years.":[17],"Methods":[18],"representing":[19],"region":[21],"by":[22,48,78,158],"segmentation":[24,152],"map":[25,153],"are":[26,43,207,219],"proved":[27],"to":[28,45,72,100,130,196,213],"capture":[29,197],"arbitrary-shaped":[30],"a":[33,87,159,174,192],"more":[34,132,175],"flexible":[35],"and":[36,142,211,238,243],"accurate":[37],"way.":[38],"However,":[39],"such":[40],"segmentation-based":[41],"methods":[42],"prone":[44],"be":[46,131,155],"disturbed":[47],"text-like":[50],"background":[51,140],"patterns":[52],"(like":[53],"fence,":[55],"grass,":[56],"etc.),":[57],"which":[58,205,225,246],"generally":[59],"suffer":[60],"imprecise":[62,75],"boundary":[63,76,84,103,127,143,151,177,188],"detail":[64],"problem.":[65],"In":[66,90,168],"this":[67,169],"paper,":[68],"LEMNet":[69,171,232],"is":[70,97,247],"proposed":[71,118],"handle":[73],"problem":[77],"guiding":[79],"generation":[81],"based":[85],"on":[86,240],"priori":[88],"constraint.":[89],"training":[92],"stage,":[93],"Boundary":[94],"Segmentation":[95],"Branch":[96,121],"firstly":[98],"constructed":[99],"predict":[101],"coarse":[102,150],"mask":[104],"for":[105],"each":[106],"instance.":[108],"Then,":[109],"through":[110],"mapping":[111],"pixels":[112],"into":[113],"an":[114],"embedding":[115,124,166],"space,":[116],"Pixel":[119],"Embedding":[120],"makes":[122],"representation":[125,202],"points":[128,141],"learn":[129],"similar,":[133],"meanwhile":[134],"enlarging":[135],"characteristic":[137],"distance":[138],"between":[139],"points.":[144],"During":[145],"inference,":[146],"noise":[147],"can":[154,172],"effectively":[156],"suppressed":[157],"Noisy":[160],"Point":[161],"Suppression":[162],"Algorithm":[163],"among":[164],"pixel":[165],"vectors.":[167],"way,":[170],"generate":[173,214],"precise":[176],"description":[178],"regions.":[181],"To":[182],"further":[183],"enhance":[184],"distinguishability":[186],"features,":[189],"we":[190],"propose":[191],"Context":[193],"Enhancement":[194],"Module":[195],"feature":[198],"interactions":[199],"different":[201],"subspaces,":[203],"features":[206],"parallelly":[208],"performed":[209],"attention":[210],"concatenated":[212],"enhanced":[215],"features.":[216],"Extensive":[217],"experiments":[218],"conducted":[220],"over":[221],"four":[222],"challenging":[223],"datasets,":[224],"demonstrate":[226],"effectiveness":[228],"LEMNet.":[230],"Specifically,":[231],"achieves":[233],"F-measure":[234],"85.2%,":[236],"87.6%":[237],"85.2%":[239],"CTW1500,":[241],"Total-Text":[242],"MSRA-TD500":[244],"respectively,":[245],"latest":[249],"SOTA.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}