{"id":"https://openalex.org/W4402980484","doi":"https://doi.org/10.1109/icme57554.2024.10688299","title":"Towards Low-resource License Plate Recognition via Feature Shuffling","display_name":"Towards Low-resource License Plate Recognition via Feature Shuffling","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980484","doi":"https://doi.org/10.1109/icme57554.2024.10688299"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688299","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100405036","display_name":"Yuanyuan Liu","orcid":"https://orcid.org/0000-0001-9865-1378"},"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":"Yuan-Yuan Liu","raw_affiliation_strings":["University of Science and Technology Beijing,School of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,School of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006074341","display_name":"Song-Lu Chen","orcid":"https://orcid.org/0000-0002-0780-658X"},"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":"Song-Lu Chen","raw_affiliation_strings":["University of Science and Technology Beijing,School of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,School of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"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":"Qi Liu","raw_affiliation_strings":["University of Science and Technology Beijing,School of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,School of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352705","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0002-5167-043X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Chen","raw_affiliation_strings":["EEasy Technology Company Ltd,AI Lab,Zhuhai,China"],"affiliations":[{"raw_affiliation_string":"EEasy Technology Company Ltd,AI Lab,Zhuhai,China","institution_ids":[]}]},{"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":["University of Science and Technology Beijing,School of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,School of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100405036"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26929372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998999834060669,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shuffling","display_name":"Shuffling","score":0.8654061555862427},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.8560376167297363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681881546974182},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.645373523235321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5278078317642212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4611212909221649},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4116651117801666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36242738366127014},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09085920453071594},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07676878571510315}],"concepts":[{"id":"https://openalex.org/C167927819","wikidata":"https://www.wikidata.org/wiki/Q1930567","display_name":"Shuffling","level":2,"score":0.8654061555862427},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.8560376167297363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681881546974182},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.645373523235321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5278078317642212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4611212909221649},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4116651117801666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36242738366127014},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09085920453071594},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07676878571510315},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688299","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4213239787","https://openalex.org/W2045745654","https://openalex.org/W2114337652","https://openalex.org/W4388857216","https://openalex.org/W4377131110","https://openalex.org/W4294559962","https://openalex.org/W2046590706","https://openalex.org/W4390419005","https://openalex.org/W2949444602","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Manual":[0],"annotation":[1],"is":[2],"costly":[3],"and":[4,110,132],"limits":[5],"the":[6,70,79,96,107,127],"availability":[7],"of":[8,81,124],"sufficient":[9],"annotated":[10],"license":[11,18],"plates":[12],"for":[13,100],"training":[14],"recognition":[15,80],"models.":[16],"Small-scale":[17],"plate":[19],"datasets":[20,112],"(i.e.,":[21],"low-resource)":[22],"often":[23],"exhibit":[24],"a":[25],"long-tailed":[26],"distribution":[27,72],"in":[28,41],"character":[29,33,42,75,98],"classes":[30,50,83],"at":[31],"some":[32],"positions,":[34],"primarily":[35],"due":[36],"to":[37,47,57,68,93],"their":[38],"limited":[39],"variation":[40],"permutations.":[43],"Previous":[44],"methods":[45],"tend":[46],"prioritize":[48],"head":[49],"with":[51,84,120],"high":[52],"occurrence":[53,71,86],"probability":[54],"when":[55],"applied":[56],"small-scale":[58,108],"datasets.":[59],"To":[60],"solve":[61],"this":[62],"problem,":[63],"we":[64,89],"propose":[65],"feature":[66,102],"shuffling":[67],"balance":[69],"across":[73],"various":[74],"classes,":[76],"thereby":[77],"improving":[78],"tail":[82],"low":[85],"probability.":[87],"Moreover,":[88],"introduce":[90],"global":[91],"perception":[92],"holistically":[94],"understand":[95],"overall":[97],"layout":[99],"effective":[101],"shuffling.":[103],"Extensive":[104],"experiments":[105],"on":[106,130,140],"UFPR":[109],"SSIG-SegPlate":[111],"demonstrate":[113],"that":[114],"our":[115,135],"method":[116,136],"achieves":[117,137],"state-of-the-art":[118,138],"results,":[119],"an":[121],"average":[122],"improvement":[123],"43.70%":[125],"over":[126],"baseline.":[128],"Experiments":[129],"RodoSol":[131],"CCPD":[133],"prove":[134],"performance":[139],"large-scale":[141],"datasets,":[142],"verifying":[143],"its":[144],"generality.":[145]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
