{"id":"https://openalex.org/W4400488050","doi":"https://doi.org/10.1109/lra.2024.3426372","title":"Interdimensional Knowledge Transfer for Semantic Segmentation on LiDAR Point Clouds","display_name":"Interdimensional Knowledge Transfer for Semantic Segmentation on LiDAR Point Clouds","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400488050","doi":"https://doi.org/10.1109/lra.2024.3426372"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2024.3426372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3426372","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","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/A5019551369","display_name":"Seongheon Ha","orcid":"https://orcid.org/0009-0000-9986-0729"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongheon Ha","raw_affiliation_strings":["Department of Information Convergence Engineering (Artificial Intelligence Major), Pusan National University, Busan, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0000-9986-0729","affiliations":[{"raw_affiliation_string":"Department of Information Convergence Engineering (Artificial Intelligence Major), Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009819086","display_name":"Y.-H. Kim","orcid":"https://orcid.org/0009-0005-5023-6876"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeogyeong Kim","raw_affiliation_strings":["Department of Information Convergence Engineering (Artificial Intelligence Major), Pusan National University, Busan, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0005-5023-6876","affiliations":[{"raw_affiliation_string":"Department of Information Convergence Engineering (Artificial Intelligence Major), Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079380164","display_name":"Jinsun Park","orcid":"https://orcid.org/0000-0002-2296-819X"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinsun Park","raw_affiliation_strings":["School of Computer Science and Engineering, Pusan National University, Busan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2296-819X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3124,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81155608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"9","first_page":"7501","last_page":"7508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9559999704360962,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9559999704360962,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7224857211112976},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6798968315124512},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6603398323059082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5128031373023987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37285324931144714},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34112730622291565},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2824242115020752}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7224857211112976},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6798968315124512},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6603398323059082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5128031373023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37285324931144714},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34112730622291565},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2824242115020752}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2024.3426372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3426372","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2150066425","https://openalex.org/W2194775991","https://openalex.org/W2963351448","https://openalex.org/W2968557240","https://openalex.org/W2990479855","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W3003437478","https://openalex.org/W3009257359","https://openalex.org/W3012494314","https://openalex.org/W3034203264","https://openalex.org/W3034239841","https://openalex.org/W3035275207","https://openalex.org/W3035574168","https://openalex.org/W3109128945","https://openalex.org/W3109154950","https://openalex.org/W3109944402","https://openalex.org/W3137210930","https://openalex.org/W3152786524","https://openalex.org/W3172507977","https://openalex.org/W3173732446","https://openalex.org/W3177330511","https://openalex.org/W3181190968","https://openalex.org/W3186632151","https://openalex.org/W4221167937","https://openalex.org/W4285176870","https://openalex.org/W4287554952","https://openalex.org/W4312414163","https://openalex.org/W4312419284","https://openalex.org/W4386065698","https://openalex.org/W4386071758","https://openalex.org/W4386075571","https://openalex.org/W4386179772","https://openalex.org/W4388919382","https://openalex.org/W4391849436","https://openalex.org/W4402915797","https://openalex.org/W6638523607","https://openalex.org/W6679909955","https://openalex.org/W6730179637","https://openalex.org/W6739778489","https://openalex.org/W6743188669","https://openalex.org/W6749242622","https://openalex.org/W6788009311","https://openalex.org/W6798749320","https://openalex.org/W6855097393"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421","https://openalex.org/W4399442168","https://openalex.org/W2114282491"],"abstract_inverted_index":{"3D":[0,11,94,112,141,195],"semantic":[1],"segmentation":[2,229],"is":[3,47,183,197,242],"a":[4,8,14,43,82,119,205],"task":[5],"to":[6,71,100,130,150,170,188,208,221,226,246],"classify":[7],"set":[9],"of":[10,39],"points":[12],"in":[13],"scene":[15],"into":[16],"semantically":[17],"meaningful":[18],"objects.":[19],"Most":[20],"existing":[21],"approaches":[22],"solely":[23],"rely":[24],"on":[25,115,233],"single-domain":[26,124,228],"information":[27,40,46,103,113,125,196],"such":[28,62],"as":[29,63,185],"point":[30,142],"clouds":[31,143],"acquired":[32,41],"by":[33,55,107],"LiDAR":[34,66],"sensors.":[35],"However,":[36],"the":[37,78,105,127,132,137,146,161,180,189,200,212,217],"amount":[38],"from":[42,156,179],"single":[44],"domain":[45],"inherently":[48],"limited.":[49],"The":[50,96,177],"limitation":[51],"can":[52],"be":[53],"alleviated":[54],"complementary":[56,109],"knowledge":[57,89,116],"exchange":[58],"between":[59,91,168],"multi-modal":[60,102],"sensors":[61],"RGB":[64],"and":[65,93,111,235,244],"sensors,":[67],"but":[68],"this":[69],"leads":[70,220],"increased":[72],"computational":[73,133],"complexity":[74],"inevitably.":[75],"To":[76],"address":[77],"problem,":[79],"we":[80],"propose":[81],"novel":[83],"Interdimensional":[84],"Alignment":[85],"Module":[86],"(IAM)":[87],"for":[88,199],"transfer":[90],"2D":[92,110,148],"information.":[95],"proposed":[97],"IAM":[98],"aims":[99],"exploit":[101],"during":[104,126,216],"training":[106],"combining":[108],"based":[114],"distillation":[117],"with":[118,211],"teacher-student":[120],"structure":[121],"while":[122],"utilizing":[123],"inference":[128],"stage":[129],"keep":[131],"cost":[134],"low.":[135],"Specifically,":[136],"teacher":[138],"network":[139],"utilizes":[140],"projected":[144],"onto":[145],"paired":[147],"image":[149],"extract":[151],"geometrically":[152],"aligned":[153],"key-value":[154],"pairs":[155],"each":[157],"modality.":[158],"After":[159],"that,":[160],"extracted":[162],"global":[163],"context":[164],"vectors":[165],"are":[166],"exchanged":[167],"modalities":[169],"generate":[171],"cross-modal":[172],"attention-based":[173],"2D\u20133D":[174],"fused":[175,181],"features.":[176],"prediction":[178],"features":[182],"adopted":[184],"unidirectional":[186],"guidance":[187],"lightweight":[190],"student":[191],"network,":[192],"therefore,":[193],"only":[194],"required":[198],"inference.":[201],"We":[202],"also":[203],"design":[204],"FocalKLD":[206],"loss":[207],"effectively":[209],"deal":[210],"class":[213],"imbalance":[214],"problem":[215],"distillation.":[218],"This":[219],"significantly":[222],"improved":[223],"performance":[224],"compared":[225],"previous":[227,247],"methods.":[230,248],"Experimental":[231],"results":[232],"SemanticKITTI":[234],"nuScenes":[236],"datasets":[237],"show":[238],"that":[239],"our":[240],"model":[241],"effective":[243],"superior":[245]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}