{"id":"https://openalex.org/W4310009591","doi":"https://doi.org/10.1109/ictc55196.2022.9952952","title":"YOLOX-based fast and lightweight single-class object detector","display_name":"YOLOX-based fast and lightweight single-class object detector","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4310009591","doi":"https://doi.org/10.1109/ictc55196.2022.9952952"},"language":"en","primary_location":{"id":"doi:10.1109/ictc55196.2022.9952952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc55196.2022.9952952","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","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/A5100444749","display_name":"Jiwon Lee","orcid":"https://orcid.org/0009-0009-6529-5333"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwon Lee","raw_affiliation_strings":["Telecommunications Media Research Laboratory (ETRI),Daejoen,Korea","Telecommunications Media Research Laboratory (ETRI), Daejoen, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecommunications Media Research Laboratory (ETRI),Daejoen,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Telecommunications Media Research Laboratory (ETRI), Daejoen, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034622929","display_name":"Byunggyu Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byunggyu Lee","raw_affiliation_strings":["Telecommunications Media Research Laboratory (ETRI),Daejoen,Korea","Telecommunications Media Research Laboratory (ETRI), Daejoen, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecommunications Media Research Laboratory (ETRI),Daejoen,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Telecommunications Media Research Laboratory (ETRI), Daejoen, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112708609","display_name":"Sung-Uk Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Uk Jung","raw_affiliation_strings":["Telecommunications Media Research Laboratory (ETRI),Daejoen,Korea","Telecommunications Media Research Laboratory (ETRI), Daejoen, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecommunications Media Research Laboratory (ETRI),Daejoen,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Telecommunications Media Research Laboratory (ETRI), Daejoen, Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.118,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42725337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1635","last_page":"1638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9962999820709229,"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/detector","display_name":"Detector","score":0.8363432884216309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415503263473511},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6729012131690979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5926967263221741},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5793710947036743},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5455729961395264},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5289737582206726},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4785923957824707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47457030415534973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3744819164276123},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08405545353889465}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8363432884216309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415503263473511},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6729012131690979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5926967263221741},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5793710947036743},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5455729961395264},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5289737582206726},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4785923957824707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47457030415534973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3744819164276123},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08405545353889465},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc55196.2022.9952952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc55196.2022.9952952","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2963037989","https://openalex.org/W6620707391","https://openalex.org/W6639102338"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2055243143","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"In":[0],"general,":[1],"an":[2],"object":[3,63],"detector":[4,39,64],"performs":[5],"a":[6,22,32,37,41,58,113,135],"series":[7],"of":[8,29,73],"processes":[9],"finding":[10],"regions":[11],"estimated":[12,50],"as":[13,21,36],"objects":[14],"in":[15,26],"the":[16,27,49,71,77,82,87,94,102,105,119],"image":[17],"and":[18,60,85],"specifying":[19],"them":[20],"predefined":[23],"class.":[24,96],"However,":[25],"case":[28],"detecting":[30],"only":[31,92],"single":[33],"class":[34,78],"such":[35],"pedestrian":[38],"or":[40],"license":[42],"plate":[43],"detector,":[44],"it":[45],"may":[46],"not":[47],"classify":[48],"regions.":[51],"Based":[52],"on":[53],"this":[54],"idea,":[55],"we":[56],"developed":[57],"fast":[59,136],"lightweight":[61],"single-class":[62],"with":[65],"high":[66],"processing":[67,137],"speed":[68,116],"while":[69,111],"minimizing":[70],"loss":[72],"accuracy":[74],"by":[75],"excluding":[76],"prediction":[79],"layer":[80,89],"from":[81,101],"YOLOX":[83,121],"network":[84],"training":[86],"regression":[88],"to":[90,93,118,127],"respond":[91],"target":[95],"As":[97],"can":[98,124],"be":[99,125],"seen":[100],"experimental":[103],"results,":[104],"proposed":[106],"method":[107],"shows":[108],"similar":[109],"precision":[110],"having":[112],"faster":[114],"inference":[115],"compared":[117],"original":[120],"model.":[122],"It":[123],"applied":[126],"mobile":[128],"applications":[129],"that":[130],"lack":[131],"resources":[132],"but":[133],"require":[134],"speed.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}