{"id":"https://openalex.org/W4391130042","doi":"https://doi.org/10.1109/ictc58733.2023.10393861","title":"Dual Adaptive Data Augmentation for 3D Object Detection","display_name":"Dual Adaptive Data Augmentation for 3D Object Detection","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4391130042","doi":"https://doi.org/10.1109/ictc58733.2023.10393861"},"language":"en","primary_location":{"id":"doi:10.1109/ictc58733.2023.10393861","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ictc58733.2023.10393861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th 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/A5100318495","display_name":"Joohyun Lee","orcid":"https://orcid.org/0000-0002-7698-1568"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]},{"id":"https://openalex.org/I50758014","display_name":"Daegu Future College","ror":"https://ror.org/03h37fs39","country_code":"KR","type":"education","lineage":["https://openalex.org/I50758014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joohyun Lee","raw_affiliation_strings":["DGIST,Department of Interdisciplinary Engineering,Daegu,Republic of Korea","DGIST,Division of Automotive Technology,Daegu,Republic of Korea","FutureDrive,Daegu,Republic of Korea","Department of Interdisciplinary Engineering, DGIST, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DGIST,Department of Interdisciplinary Engineering,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"DGIST,Division of Automotive Technology,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"FutureDrive,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I50758014"]},{"raw_affiliation_string":"Department of Interdisciplinary Engineering, DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424012","display_name":"Jinhee Lee","orcid":"https://orcid.org/0000-0001-7542-8560"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]},{"id":"https://openalex.org/I50758014","display_name":"Daegu Future College","ror":"https://ror.org/03h37fs39","country_code":"KR","type":"education","lineage":["https://openalex.org/I50758014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Hee Lee","raw_affiliation_strings":["DGIST,Department of Interdisciplinary Engineering,Daegu,Republic of Korea","DGIST,Division of Automotive Technology,Daegu,Republic of Korea","FutureDrive,Daegu,Republic of Korea","Division of Automotive Technology, DGIST, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DGIST,Department of Interdisciplinary Engineering,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"DGIST,Division of Automotive Technology,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"FutureDrive,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I50758014"]},{"raw_affiliation_string":"Division of Automotive Technology, DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067532923","display_name":"Jae-Keun Lee","orcid":"https://orcid.org/0009-0007-1322-7238"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]},{"id":"https://openalex.org/I50758014","display_name":"Daegu Future College","ror":"https://ror.org/03h37fs39","country_code":"KR","type":"education","lineage":["https://openalex.org/I50758014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Keun Lee","raw_affiliation_strings":["DGIST,Department of Interdisciplinary Engineering,Daegu,Republic of Korea","DGIST,Division of Automotive Technology,Daegu,Republic of Korea","FutureDrive,Daegu,Republic of Korea","FutureDrive, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DGIST,Department of Interdisciplinary Engineering,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"DGIST,Division of Automotive Technology,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"FutureDrive,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I50758014"]},{"raw_affiliation_string":"FutureDrive, Daegu, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006250939","display_name":"Je-Seok Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Je-Seok Kim","raw_affiliation_strings":["DGIST,Division of Automotive Technology,Daegu,Republic of Korea","Division of Automotive Technology, DGIST, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DGIST,Division of Automotive Technology,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"Division of Automotive Technology, DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101513268","display_name":"Soon Jae Kwon","orcid":"https://orcid.org/0009-0006-3483-4136"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soon Kwon","raw_affiliation_strings":["DGIST,Division of Automotive Technology,Daegu,Republic of Korea","FutureDrive, Daegu, Republic of Korea","Division of Automotive Technology, DGIST, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DGIST,Division of Automotive Technology,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"FutureDrive, Daegu, Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"Division of Automotive Technology, DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028819030","display_name":"Sangdong Kim","orcid":"https://orcid.org/0000-0001-5163-540X"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangdong Kim","raw_affiliation_strings":["DGIST,Department of Interdisciplinary Engineering,Daegu,Republic of Korea","Division of Automotive Technology, DGIST, Daegu, Republic of Korea","Department of Interdisciplinary Engineering, DGIST, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DGIST,Department of Interdisciplinary Engineering,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"Division of Automotive Technology, DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"Department of Interdisciplinary Engineering, DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18155285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1732","last_page":"1737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.8226162195205688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.723984956741333},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6871556043624878},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6750248670578003},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6735807657241821},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.594222903251648},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5837948322296143},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5700073838233948},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.569929301738739},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4411345422267914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2307269275188446}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226162195205688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.723984956741333},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6871556043624878},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6750248670578003},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6735807657241821},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.594222903251648},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5837948322296143},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5700073838233948},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.569929301738739},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4411345422267914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2307269275188446},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc58733.2023.10393861","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ictc58733.2023.10393861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Information and Communication Technology Convergence (ICTC)","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":23,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2746314669","https://openalex.org/W2897529137","https://openalex.org/W2963390820","https://openalex.org/W2963727135","https://openalex.org/W2992308087","https://openalex.org/W3034314779","https://openalex.org/W3035172746","https://openalex.org/W3035363555","https://openalex.org/W3044856323","https://openalex.org/W3103351485","https://openalex.org/W3116730076","https://openalex.org/W3118341329","https://openalex.org/W3166089996","https://openalex.org/W3174654838","https://openalex.org/W3183784042","https://openalex.org/W4283033898","https://openalex.org/W4289435420","https://openalex.org/W4307823382","https://openalex.org/W4319299959","https://openalex.org/W6743428213","https://openalex.org/W6775319580","https://openalex.org/W6797589674"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W2957704286","https://openalex.org/W2028936041","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"Dual":[3],"Adaptive":[4],"Data":[5],"Augmentation":[6],"(DADA)":[7],"method":[8],"for":[9],"3D":[10],"object":[11,52,120],"detection.":[12],"Training":[13],"deep":[14],"learning":[15],"models":[16],"requires":[17],"large":[18],"amounts":[19],"of":[20,63,80],"data,":[21],"which":[22,61],"is":[23],"time-consuming":[24],"and":[25,48,51,68,132],"expensive.":[26],"To":[27,54],"address":[28,55],"this":[29],"challenge,":[30],"data":[31,102],"augmentation":[32,89],"methods":[33,43],"have":[34],"been":[35],"proposed":[36],"to":[37,90,109],"generate":[38],"augmented":[39,74,116],"objects.":[40],"However,":[41],"conventional":[42],"rely":[44],"on":[45,77,92,119,129],"fixed":[46],"parameters":[47],"ignore":[49],"scene":[50],"characteristics.":[53],"these":[56],"limitations,":[57],"we":[58],"propose":[59],"DADA,":[60],"consists":[62],"two":[64],"modules:":[65],"Scene-based":[66,71],"ADA":[67,72,105],"Density-based":[69,104],"ADA.":[70],"adjusts":[73],"objects":[75,84,98,117],"based":[76,118],"the":[78,130],"distribution":[79],"Ground":[81],"Truth":[82],"(GT)":[83],"in":[85,127],"each":[86],"scene,":[87],"allowing":[88],"focus":[91],"sparse":[93],"scenes":[94],"with":[95],"fewer":[96],"GT":[97],"while":[99],"keeping":[100],"overall":[101],"volume.":[103],"utilizes":[106],"LiDAR":[107],"characteristics":[108],"apply":[110],"different":[111],"sampling":[112],"methods,":[113],"generating":[114],"diverse":[115],"density.":[121],"Experiment":[122],"results":[123],"show":[124],"considerable":[125],"improvement":[126],"performance":[128],"KITTI":[131],"ONCE":[133],"datasets.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}