{"id":"https://openalex.org/W3034390599","doi":"https://doi.org/10.1109/tits.2020.2996027","title":"Detecting Text in Scene and Traffic Guide Panels With Attention Anchor Mechanism","display_name":"Detecting Text in Scene and Traffic Guide Panels With Attention Anchor Mechanism","publication_year":2020,"publication_date":"2020-06-10","ids":{"openalex":"https://openalex.org/W3034390599","doi":"https://doi.org/10.1109/tits.2020.2996027","mag":"3034390599"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.2996027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2996027","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5090213090","display_name":"Jie-Bo Hou","orcid":"https://orcid.org/0000-0002-4632-0160"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie-Bo Hou","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4632-0160","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078514263","display_name":"Xiaobin Zhu","orcid":"https://orcid.org/0000-0003-2702-4136"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Zhu","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003689454","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0002-7353-0251"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015252816","display_name":"Chun Yang","orcid":"https://orcid.org/0000-0002-6297-4500"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Yang","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004982171","display_name":"Long-Huang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long-Huang Wu","raw_affiliation_strings":["Tencent Technology (Shenzhen) Company Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Technology (Shenzhen) Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070033770","display_name":"Hongfa Wang","orcid":"https://orcid.org/0000-0001-8230-9471"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfa Wang","raw_affiliation_strings":["Tencent Technology (Shenzhen) Company Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Technology (Shenzhen) Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074514262","display_name":"Xu-Cheng Yin","orcid":"https://orcid.org/0000-0003-0023-0220"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu-Cheng Yin","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0023-0220","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5090213090"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":1.7662,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87182505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"11","first_page":"6890","last_page":"6899"},"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9957000017166138,"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/robustness","display_name":"Robustness (evolution)","score":0.7647713422775269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7349505424499512},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5681972503662109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5544650554656982},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5532846450805664},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4755558371543884},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4732395112514496},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43858370184898376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38889768719673157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3280688524246216},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15657922625541687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08808663487434387}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7647713422775269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7349505424499512},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5681972503662109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5544650554656982},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5532846450805664},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4755558371543884},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4732395112514496},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43858370184898376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38889768719673157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3280688524246216},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15657922625541687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08808663487434387},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.2996027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2996027","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G1791148842","display_name":null,"funder_award_id":"FRF-TP-18-060A1","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4311949566","display_name":null,"funder_award_id":"2019YFB1405900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7090126312","display_name":null,"funder_award_id":"4194084","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"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":75,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1903029394","https://openalex.org/W1972065312","https://openalex.org/W1988461287","https://openalex.org/W2008806374","https://openalex.org/W2012112601","https://openalex.org/W2024121930","https://openalex.org/W2129987527","https://openalex.org/W2144554289","https://openalex.org/W2194775991","https://openalex.org/W2504335775","https://openalex.org/W2519321174","https://openalex.org/W2519818067","https://openalex.org/W2550687635","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2593539516","https://openalex.org/W2604735854","https://openalex.org/W2605076167","https://openalex.org/W2605982830","https://openalex.org/W2762383441","https://openalex.org/W2772800855","https://openalex.org/W2779757316","https://openalex.org/W2783152060","https://openalex.org/W2784050770","https://openalex.org/W2785383245","https://openalex.org/W2798450692","https://openalex.org/W2810028092","https://openalex.org/W2810862788","https://openalex.org/W2811271212","https://openalex.org/W2831607544","https://openalex.org/W2886603769","https://openalex.org/W2903265578","https://openalex.org/W2949858991","https://openalex.org/W2950136945","https://openalex.org/W2953894958","https://openalex.org/W2962773189","https://openalex.org/W2962810613","https://openalex.org/W2962891704","https://openalex.org/W2963150697","https://openalex.org/W2963161243","https://openalex.org/W2963179609","https://openalex.org/W2963187132","https://openalex.org/W2963195262","https://openalex.org/W2963299996","https://openalex.org/W2963353821","https://openalex.org/W2963446712","https://openalex.org/W2963516811","https://openalex.org/W2963604034","https://openalex.org/W2963807362","https://openalex.org/W2963840241","https://openalex.org/W2964018263","https://openalex.org/W2964121744","https://openalex.org/W2964294787","https://openalex.org/W2970910956","https://openalex.org/W3010357916","https://openalex.org/W3098090606","https://openalex.org/W3102695566","https://openalex.org/W3106228955","https://openalex.org/W3106250896","https://openalex.org/W6631190155","https://openalex.org/W6642972425","https://openalex.org/W6679461745","https://openalex.org/W6726857151","https://openalex.org/W6729791593","https://openalex.org/W6746123559","https://openalex.org/W6746206475","https://openalex.org/W6747438827","https://openalex.org/W6752143097","https://openalex.org/W6752745451","https://openalex.org/W6752879036","https://openalex.org/W6753320108","https://openalex.org/W6757060459","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2047973478","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2382997850","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W4285411112","https://openalex.org/W2390968135","https://openalex.org/W2085033728","https://openalex.org/W2171299904"],"abstract_inverted_index":{"Text":[0],"detection":[1,22],"in":[2,19,25,96],"complex":[3,36],"scene":[4,20],"images":[5],"is":[6],"a":[7,49,69,101,137],"challenging":[8],"task":[9],"for":[10,61],"intelligent":[11],"transportation.":[12],"Recently,":[13],"anchor":[14],"mechanisms":[15],"are":[16,29],"widely":[17],"utilized":[18],"text":[21],"tasks.":[23],"However,":[24],"existing":[26],"methods,":[27],"anchors":[28,60,73,76,95,112],"generally":[30],"predefined":[31,72],"empirically,":[32],"degrading":[33],"robustness":[34],"to":[35,82,86,126,140],"scenarios":[37],"with":[38],"various":[39],"sizes":[40],"and":[41,77,113,144],"orientation":[42],"variations.":[43],"In":[44,104],"this":[45,105],"paper,":[46],"we":[47,67,135],"propose":[48],"novel":[50],"Attention":[51],"Anchor":[52],"Mechanism":[53],"(AAM),":[54],"especially":[55],"targeting":[56],"at":[57],"predicting":[58],"appropriate":[59],"each":[62,97],"pixel.":[63],"To":[64],"be":[65,120],"concrete,":[66],"regard":[68],"series":[70],"of":[71,93,132,146],"as":[74],"basic":[75,87,94,133],"utilize":[78],"an":[79],"attention":[80],"model":[81],"predict":[83,141],"weights":[84],"corresponding":[85,115],"anchors.":[88],"Consequently,":[89],"the":[90,107,110,114,123,130],"weighted":[91],"sum":[92],"pixel":[98],"can":[99],"obtain":[100],"predicted":[102,111],"anchor.":[103],"way,":[106],"gap":[108],"between":[109],"ground":[116],"truth":[117],"boxes":[118],"could":[119],"narrowed,":[121],"making":[122],"network":[124],"easier":[125],"regress.":[127],"For":[128],"facilitating":[129],"design":[131],"anchors,":[134,147],"adopt":[136],"dimension-decomposition":[138],"mechanism":[139],"width,":[142],"height,":[143],"angle":[145],"respectively.":[148],"Extensive":[149],"experiments":[150],"on":[151],"several":[152],"public":[153],"datasets":[154],"demonstrate":[155],"that":[156],"our":[157],"method":[158],"achieves":[159],"state-of-the-art":[160],"performance.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
