{"id":"https://openalex.org/W4399338669","doi":"https://doi.org/10.1109/mits.2024.3399017","title":"AdaMix: Adaptive Resampling of Multiscale Object Mixup for Lidar Data Augmentation","display_name":"AdaMix: Adaptive Resampling of Multiscale Object Mixup for Lidar Data Augmentation","publication_year":2024,"publication_date":"2024-06-04","ids":{"openalex":"https://openalex.org/W4399338669","doi":"https://doi.org/10.1109/mits.2024.3399017"},"language":"en","primary_location":{"id":"doi:10.1109/mits.2024.3399017","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mits.2024.3399017","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","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/A5048008225","display_name":"Ruifeng Zhai","orcid":"https://orcid.org/0000-0001-7182-7644"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruifeng Zhai","raw_affiliation_strings":["College of Electronic Science and Engineering, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-7182-7644","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014458578","display_name":"Fengli Gao","orcid":"https://orcid.org/0000-0001-6097-4999"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengli Gao","raw_affiliation_strings":["College of Electronic Science and Engineering, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-6097-4999","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008078811","display_name":"Yanliang Guo","orcid":"https://orcid.org/0009-0007-1478-3527"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanliang Guo","raw_affiliation_strings":["College of Electronic Science and Engineering, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0007-1478-3527","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100935831","display_name":"Wuling Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wuling Huang","raw_affiliation_strings":["Xiong’an Institute of Innovation, Xiong’an New Area, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiong’an Institute of Innovation, Xiong’an New Area, Hebei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026289749","display_name":"Junfeng Song","orcid":"https://orcid.org/0000-0002-2079-7278"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Song","raw_affiliation_strings":["College of Electronic Science and Engineering, Jilin University, Changchun, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2079-7278","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381623","display_name":"Xueyan Li","orcid":"https://orcid.org/0000-0002-9206-9480"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyan Li","raw_affiliation_strings":["College of Electronic Science and Engineering, Jilin University, Changchun, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9206-9480","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018197314","display_name":"Rui Ma","orcid":"https://orcid.org/0000-0002-3477-1466"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Ma","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-3477-1466","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048008225"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.1965,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46097561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"5","first_page":"68","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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":0.9948999881744385,"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/lidar","display_name":"Lidar","score":0.8741944432258606},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.8117057681083679},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7675141096115112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7552417516708374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7426682114601135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.729647696018219},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5905518531799316},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5452975034713745},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.4270263612270355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2772107720375061},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2426115870475769},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17394083738327026},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13632124662399292}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8741944432258606},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8117057681083679},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7675141096115112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552417516708374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7426682114601135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.729647696018219},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5905518531799316},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5452975034713745},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.4270263612270355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2772107720375061},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2426115870475769},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17394083738327026},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13632124662399292}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mits.2024.3399017","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mits.2024.3399017","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2241280911","display_name":null,"funder_award_id":"62202199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2666541164","display_name":null,"funder_award_id":"62090054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4085025788","display_name":null,"funder_award_id":"2021TD-39","funder_id":"https://openalex.org/F4320336022","funder_display_name":"Program for Jilin University Science and Technology Innovative Research Team"},{"id":"https://openalex.org/G438526502","display_name":null,"funder_award_id":"62090053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6101085830","display_name":null,"funder_award_id":"61934003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6350056726","display_name":null,"funder_award_id":"2022YFB2804504","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8250788735","display_name":null,"funder_award_id":"2022YFB2804503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336022","display_name":"Program for Jilin University Science and Technology Innovative Research Team","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2555618208","https://openalex.org/W2560609797","https://openalex.org/W2897529137","https://openalex.org/W2908440980","https://openalex.org/W2936459520","https://openalex.org/W2954996726","https://openalex.org/W2968296999","https://openalex.org/W2992308087","https://openalex.org/W3003225285","https://openalex.org/W3012255272","https://openalex.org/W3034314779","https://openalex.org/W3035363555","https://openalex.org/W3035574168","https://openalex.org/W3044856323","https://openalex.org/W3087774910","https://openalex.org/W3095522139","https://openalex.org/W3106753828","https://openalex.org/W3116730076","https://openalex.org/W3166089996","https://openalex.org/W3166470370","https://openalex.org/W3173671050","https://openalex.org/W3175676582","https://openalex.org/W3176287975","https://openalex.org/W3183784042","https://openalex.org/W3197438232","https://openalex.org/W3203898101","https://openalex.org/W4221143972","https://openalex.org/W4283033898","https://openalex.org/W4289435420","https://openalex.org/W4292091702","https://openalex.org/W4306309477","https://openalex.org/W4312607395","https://openalex.org/W4386065792","https://openalex.org/W4386071563","https://openalex.org/W4395664744","https://openalex.org/W6739778489","https://openalex.org/W6745136726","https://openalex.org/W6757811874","https://openalex.org/W6760184523","https://openalex.org/W6775319580","https://openalex.org/W6840633886","https://openalex.org/W6845655958"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W4293094720","https://openalex.org/W2916266256","https://openalex.org/W2739701376","https://openalex.org/W3176213335"],"abstract_inverted_index":{"Lidar":[0],"data,":[1],"which":[2],"can":[3],"describe":[4],"the":[5,10,13,53,71,84,120,124,175,192,196,206,217,233],"3D":[6,31,212],"spatial":[7],"information":[8],"of":[9,15,55,102,145,168,208,236],"environment":[11],"in":[12,22,70,231],"form":[14],"point":[16,79,136],"clouds,":[17],"play":[18],"an":[19,48],"important":[20],"role":[21],"autonomous":[23],"driving":[24],"and":[25,39,115,151,163,170,238],"related":[26],"downstream":[27],"tasks":[28],"such":[29,148],"as":[30,149],"object":[32,104,110,126,213],"detection.":[33,240],"However,":[34],"unlike":[35],"for":[36,58,96],"images,":[37],"collecting":[38],"labeling":[40],"lidar":[41,78,97,121,228],"data":[42,57,63,122],"is":[43,139],"often":[44],"very":[45],"expensive.":[46],"As":[47],"effective":[49],"means":[50],"to":[51,118,141,165,189],"increase":[52],"quantity":[54],"annotated":[56],"training":[59],"deep":[60],"learning":[61],"models,":[62],"augmentation":[64],"(DA)":[65],"has":[66],"been":[67],"widely":[68],"used":[69],"image":[72],"field,":[73],"but":[74],"studies":[75],"on":[76,195,216],"augmenting":[77],"clouds":[80],"are":[81,160],"only":[82],"at":[83],"beginning":[85],"stage.":[86],"In":[87],"this":[88],"article,":[89],"we":[90],"propose":[91],"AdaMix,":[92],"a":[93,134,143,179,184,200],"novel":[94,185],"framework":[95],"DA":[98,229],"via":[99],"adaptive":[100],"resampling":[101],"multiscale":[103],"mixup.":[105],"AdaMix":[106,182,209,224],"contains":[107],"two":[108],"different":[109,129,158],"mixup":[111],"schemes,":[112],"i.e.,":[113],"object-level":[114,132],"part-level":[116,154],"mixup,":[117,133,155],"augment":[119],"with":[123,210],"existing":[125],"instances":[127],"from":[128,157,199],"scenes.":[130],"For":[131,153],"learning-based":[135],"upsampling":[137],"operation":[138],"employed":[140],"obtain":[142],"set":[144],"dense":[146,171,176],"objects,":[147],"vehicles":[150,159,167],"pedestrians.":[152],"parts":[156],"composed":[161],"together":[162],"upsampled":[164],"generate":[166],"complete":[169],"shapes.":[172],"To":[173],"mix":[174],"objects":[177,193],"into":[178],"new":[180],"scene,":[181],"introduces":[183],"projection-based":[186],"downsampling":[187],"method":[188],"adaptively":[190],"downsample":[191],"based":[194],"location":[197,201],"generated":[198],"sampling":[202],"module.":[203],"We":[204],"evaluate":[205],"performance":[207],"several":[211],"detection":[214],"models":[215],"KITTI":[218],"dataset.":[219],"Experimental":[220],"results":[221],"demonstrate":[222],"that":[223],"consistently":[225],"surpasses":[226],"state-of-the-art":[227],"methods":[230],"improving":[232],"average":[234],"precision":[235],"vehicle":[237],"pedestrian":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}