{"id":"https://openalex.org/W4403792007","doi":"https://doi.org/10.1145/3664647.3680728","title":"Seeing Text in the Dark: Algorithm and Benchmark","display_name":"Seeing Text in the Dark: Algorithm and Benchmark","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403792007","doi":"https://doi.org/10.1145/3664647.3680728"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002596064","display_name":"Chengpei Xu","orcid":"https://orcid.org/0000-0001-8860-7701"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chengpei Xu","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8860-7701","affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Fu","orcid":"https://orcid.org/0009-0006-3270-9980"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Fu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0006-3270-9980","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037377300","display_name":"Long Ma","orcid":"https://orcid.org/0000-0001-5125-0198"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Ma","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-5125-0198","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395314","display_name":"Wenjing Jia","orcid":"https://orcid.org/0000-0002-0940-3338"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjing Jia","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0940-3338","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438525","display_name":"Chengqi Zhang","orcid":"https://orcid.org/0000-0001-5715-7154"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chengqi Zhang","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5715-7154","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089615958","display_name":"Feng Xia","orcid":"https://orcid.org/0000-0002-8324-1859"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Feng Xia","raw_affiliation_strings":["RMIT Univeristy, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8324-1859","affiliations":[{"raw_affiliation_string":"RMIT Univeristy, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040065448","display_name":"Xiaoyu Ai","orcid":"https://orcid.org/0000-0001-9970-0290"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaoyu Ai","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9970-0290","affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072317258","display_name":"Binghao Li","orcid":"https://orcid.org/0000-0001-8565-7287"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Binghao Li","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8565-7287","affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385498","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0001-6572-2600"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6572-2600","affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2870","last_page":"2878"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9901000261306763,"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":0.9865000247955322,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7119163870811462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6439662575721741},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42805665731430054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42252326011657715},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06926071643829346},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05837187170982361}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7119163870811462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439662575721741},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42805665731430054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42252326011657715},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06926071643829346},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05837187170982361}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2343052201","https://openalex.org/W2563408008","https://openalex.org/W2565639579","https://openalex.org/W2605076167","https://openalex.org/W2785383245","https://openalex.org/W2810028092","https://openalex.org/W2914492226","https://openalex.org/W2963299604","https://openalex.org/W2963647456","https://openalex.org/W2964982818","https://openalex.org/W2981718299","https://openalex.org/W2991626090","https://openalex.org/W2998621280","https://openalex.org/W3034514377","https://openalex.org/W3034792612","https://openalex.org/W3035222584","https://openalex.org/W3035679705","https://openalex.org/W3047669229","https://openalex.org/W3088488048","https://openalex.org/W3093046205","https://openalex.org/W3181016597","https://openalex.org/W3184364189","https://openalex.org/W4214922754","https://openalex.org/W4285263829","https://openalex.org/W4285587185","https://openalex.org/W4293203016","https://openalex.org/W4312249431","https://openalex.org/W4312494018","https://openalex.org/W4312514481","https://openalex.org/W4312560884","https://openalex.org/W4312593844","https://openalex.org/W4312725970","https://openalex.org/W4380839071","https://openalex.org/W4382464147","https://openalex.org/W4387968327","https://openalex.org/W4387969748","https://openalex.org/W4390873988"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2051487156","https://openalex.org/W2028665553","https://openalex.org/W2086519370"],"abstract_inverted_index":{"Localizing":[0],"text":[1,59,85,94,133,147,181],"in":[2,60,96,112],"low-light":[3,20,115,189,207],"environments":[4],"is":[5,32,89],"challenging":[6],"due":[7],"to":[8,91,130,150],"visual":[9,116],"degradations.":[10,117],"Although":[11],"a":[12,16,71,157,165,171,187],"straightforward":[13],"solution":[14],"involves":[15],"two-stage":[17],"pipeline":[18],"with":[19,170],"image":[21],"enhancement":[22],"(LLE)":[23],"as":[24,75],"the":[25,61,65,80,84,93,107,132,145],"initial":[26],"step":[27],"followed":[28],"by":[29],"detection,":[30],"LLE":[31],"primarily":[33],"designed":[34,90],"for":[35,57,67,176,191],"human":[36],"vision":[37,41],"rather":[38],"than":[39],"machine":[40],"and":[42,53,123,138,163,197,209,220],"can":[43],"accumulate":[44],"errors.":[45],"In":[46,183],"this":[47,128,206],"work,":[48],"we":[49,119,185],"propose":[50],"an":[51,76],"efficient":[52],"effective":[54],"single-stage":[55],"approach":[56,143],"localizing":[58],"dark":[62],"that":[63],"circumvents":[64],"need":[66],"LLE.":[68],"We":[69],"introduce":[70],"constrained":[72],"learning":[73],"module":[74,88,129],"auxiliary":[77],"mechanism":[78],"during":[79],"training":[81],"stage":[82],"of":[83,109,179],"detector.":[86],"This":[87],"guide":[92],"detector":[95,134],"preserving":[97],"textual":[98],"spatial":[99,110,121,124],"features":[100,155],"amidst":[101],"feature":[102,160],"map":[103],"resizing,":[104],"thus":[105],"minimizing":[106],"loss":[108],"information":[111],"texts":[113],"under":[114],"Specifically,":[118],"incorporate":[120],"reconstruction":[122],"semantic":[125],"constraints":[126],"within":[127],"ensure":[131],"acquires":[135],"essential":[136],"positional":[137],"contextual":[139],"range":[140],"knowledge.":[141],"Our":[142],"enhances":[144],"original":[146],"detector's":[148],"ability":[149],"identify":[151],"text's":[152],"local":[153],"topological":[154],"using":[156],"dynamic":[158],"snake":[159],"pyramid":[161],"network":[162],"adopts":[164],"bottom-up":[166],"contour":[167],"shaping":[168],"strategy":[169],"novel":[172],"rectangular":[173],"accumulation":[174],"technique":[175],"accurate":[177],"delineation":[178],"streamlined":[180],"features.":[182],"addition,":[184],"present":[186],"comprehensive":[188],"dataset":[190,208,221],"arbitrary-shaped":[192],"text,":[193],"encompassing":[194],"diverse":[195],"scenes":[196],"languages.":[198],"Notably,":[199],"our":[200],"method":[201],"achieves":[202],"state-of-the-art":[203],"results":[204],"on":[205,213],"exhibits":[210],"comparable":[211],"performance":[212],"standard":[214],"normal":[215],"light":[216],"datasets.":[217],"The":[218],"code":[219],"will":[222],"be":[223],"released.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
