{"id":"https://openalex.org/W4391307020","doi":"https://doi.org/10.1109/vcip59821.2023.10402719","title":"CFS: Character Feature Summarization Model for Real-time End-to-end Text Spotting","display_name":"CFS: Character Feature Summarization Model for Real-time End-to-end Text Spotting","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391307020","doi":"https://doi.org/10.1109/vcip59821.2023.10402719"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402719","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5008912124","display_name":"Chuanyang Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuanyang Gong","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109678222","display_name":"Heifei Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heifei Mei","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066434602","display_name":"Heqian Qiu","orcid":"https://orcid.org/0000-0002-0963-0311"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heqian Qiu","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002544951","display_name":"Xinpeng Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Hao","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047916298","display_name":"Jian Jiao","orcid":"https://orcid.org/0000-0002-7988-9820"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Jiao","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080193660","display_name":"Shiyuan Tang","orcid":"https://orcid.org/0009-0002-1014-0659"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyuan Tang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114378292","display_name":"Hongliang Li","orcid":"https://orcid.org/0000-0002-7481-095X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Li","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5008912124"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.174,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60613146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.996399998664856,"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/T10028","display_name":"Topic Modeling","score":0.996399998664856,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9940999746322632,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9855999946594238,"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/spotting","display_name":"Spotting","score":0.907548189163208},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8789017200469971},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6965712308883667},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6814274787902832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6628878712654114},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5563510656356812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38970303535461426},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3513343334197998},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3304874300956726},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1010642945766449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07738703489303589}],"concepts":[{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.907548189163208},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8789017200469971},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6965712308883667},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6814274787902832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6628878712654114},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5563510656356812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38970303535461426},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3513343334197998},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3304874300956726},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1010642945766449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07738703489303589},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip59821.2023.10402719","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":26,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1903029394","https://openalex.org/W2064675550","https://openalex.org/W2127141656","https://openalex.org/W2550687635","https://openalex.org/W2612690371","https://openalex.org/W2875814315","https://openalex.org/W2962986948","https://openalex.org/W2963150697","https://openalex.org/W2963299604","https://openalex.org/W2963647456","https://openalex.org/W2964018263","https://openalex.org/W2964296749","https://openalex.org/W2970910956","https://openalex.org/W2981969038","https://openalex.org/W2983626510","https://openalex.org/W2991626090","https://openalex.org/W3003868038","https://openalex.org/W3034792612","https://openalex.org/W3093587902","https://openalex.org/W3110398855","https://openalex.org/W3159307593","https://openalex.org/W3196976036","https://openalex.org/W4304091583","https://openalex.org/W4316660163","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W1517524280","https://openalex.org/W4389760904","https://openalex.org/W4306886878","https://openalex.org/W4323520239"],"abstract_inverted_index":{"Most":[0],"real-time":[1],"end-to-end":[2],"text":[3],"spotting":[4],"methods":[5],"employ":[6],"sequence":[7],"models":[8,15],"as":[9],"their":[10],"recognition":[11],"heads.":[12],"However,":[13],"these":[14],"generate":[16],"characters":[17,45,80],"one":[18],"by":[19,81],"one,":[20],"which":[21,41],"is":[22,109],"inefficient":[23],"when":[24],"there":[25],"are":[26],"many":[27],"characters.":[28],"To":[29],"solve":[30],"this":[31],"problem,":[32],"we":[33,52],"propose":[34,53],"a":[35,54,62,67,126],"Character":[36,55],"Feature":[37,56,64,69],"Summarization":[38,57],"(CFS)":[39],"Model,":[40],"can":[42],"predict":[43],"fixed-length":[44],"in":[46],"parallel,":[47],"regardless":[48],"of":[49,61],"length.":[50],"Specifically,":[51],"Module":[58],"(CFSM)":[59],"consisting":[60],"Global":[63],"Capture":[65],"and":[66,73],"Historical":[68],"Summarizer":[70],"to":[71,92,99,111],"extract":[72],"summarize":[74],"global":[75,96],"character":[76,97],"features,":[77],"enabling":[78],"getting":[79],"simple":[82],"linear":[83],"prediction.":[84],"We":[85],"use":[86],"Multi-stage":[87],"Testing,":[88],"cascading":[89],"multiple":[90],"CFSMs":[91],"obtain":[93,100],"multi-stage":[94],"summarized":[95],"features":[98],"several":[101],"predictions":[102],"for":[103],"better":[104],"convergence.":[105],"The":[106],"Result":[107],"Selector":[108],"used":[110],"select":[112],"the":[113,119,130],"most":[114],"likely":[115],"result.":[116],"Experiments":[117],"on":[118,129],"Total-Text":[120],"dataset":[121],"show":[122],"that":[123],"CFS":[124],"achieves":[125],"3.53%":[127],"improvement":[128],"\"Full\"":[131],"while":[132],"being":[133],"3.6":[134],"times":[135],"faster":[136],"than":[137],"ABCNet":[138],"v2\u2019s":[139],"head.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}