{"id":"https://openalex.org/W4411231951","doi":"https://doi.org/10.1109/tits.2025.3574213","title":"Efficient Distillation Using Channel Pruning for Point Cloud-Based 3D Object Detection","display_name":"Efficient Distillation Using Channel Pruning for Point Cloud-Based 3D Object Detection","publication_year":2025,"publication_date":"2025-06-12","ids":{"openalex":"https://openalex.org/W4411231951","doi":"https://doi.org/10.1109/tits.2025.3574213"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3574213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3574213","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","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/A5109518732","display_name":"F. Li","orcid":"https://orcid.org/0009-0007-7860-9990"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuyang Li","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-7860-9990","affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Min","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Min","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092421151","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0002-8241-8691"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8241-8691","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842342","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0001-6959-4343"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xiao","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6959-4343","affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040586473","display_name":"Dawei Zhao","orcid":"https://orcid.org/0000-0002-4583-1268"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Zhao","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100882870","display_name":"Yiming Nie","orcid":"https://orcid.org/0000-0003-0421-595X"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Nie","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005995567","display_name":"Bin Dai","orcid":"https://orcid.org/0000-0001-9405-2626"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Dai","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9405-2626","affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5109518732"],"corresponding_institution_ids":["https://openalex.org/I4210160531"],"apc_list":null,"apc_paid":null,"fwci":1.4225,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80417598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"26","issue":"10","first_page":"16144","last_page":"16158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9749000072479248,"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":0.9749000072479248,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9660999774932861,"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/point-cloud","display_name":"Point cloud","score":0.7595130801200867},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6421101093292236},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5881944298744202},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5805847644805908},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5716220140457153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5480636358261108},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5306193828582764},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4935985803604126},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4845935106277466},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.422709196805954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40152600407600403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32070016860961914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2559042274951935},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.15574952960014343},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.15474224090576172},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13384699821472168},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09542375802993774}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7595130801200867},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6421101093292236},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5881944298744202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5805847644805908},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5716220140457153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480636358261108},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5306193828582764},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4935985803604126},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4845935106277466},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.422709196805954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40152600407600403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32070016860961914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2559042274951935},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.15574952960014343},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.15474224090576172},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13384699821472168},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09542375802993774},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3574213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3574213","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2150066425","https://openalex.org/W2276892413","https://openalex.org/W2551895583","https://openalex.org/W2739879705","https://openalex.org/W2750432752","https://openalex.org/W2886851211","https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2955192706","https://openalex.org/W2956908398","https://openalex.org/W2959289524","https://openalex.org/W2962851801","https://openalex.org/W2963120444","https://openalex.org/W2963140444","https://openalex.org/W2963150697","https://openalex.org/W2965862774","https://openalex.org/W2968296999","https://openalex.org/W2981819252","https://openalex.org/W2997006708","https://openalex.org/W2997768846","https://openalex.org/W3004127093","https://openalex.org/W3008105217","https://openalex.org/W3034314779","https://openalex.org/W3034513523","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3107212734","https://openalex.org/W3119460773","https://openalex.org/W3136022415","https://openalex.org/W3166089996","https://openalex.org/W3166470370","https://openalex.org/W3167095230","https://openalex.org/W3173270634","https://openalex.org/W3175563878","https://openalex.org/W3194287972","https://openalex.org/W4312339251","https://openalex.org/W4312894406","https://openalex.org/W4312934050","https://openalex.org/W4313141028","https://openalex.org/W4382464460","https://openalex.org/W4386075775","https://openalex.org/W4386075892","https://openalex.org/W4386083031","https://openalex.org/W4386597219","https://openalex.org/W4390872845","https://openalex.org/W4390872851","https://openalex.org/W4390874058","https://openalex.org/W4400645891"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W3016928466","https://openalex.org/W2378744544","https://openalex.org/W2936725271","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Although":[0],"point":[1,61,181],"cloud-based":[2,62,182],"3D":[3,33,63,94,171,183],"object":[4,34,64],"detectors":[5,172],"have":[6,27],"advanced":[7],"significantly":[8],"in":[9,43,179],"recent":[10],"years,":[11],"they":[12],"are":[13,186],"frequently":[14],"hindered":[15],"by":[16],"substantial":[17],"computational":[18],"overheads.":[19],"Lightweight":[20],"model":[21,101],"techniques,":[22],"such":[23],"as":[24],"knowledge":[25,44,132,141],"distillation,":[26,152],"recently":[28],"been":[29],"proven":[30],"effective":[31,137],"for":[32,60,122],"detector":[35],"compression.":[36],"However,":[37],"neural":[38],"network":[39],"pruning\u2019s":[40],"complementary":[41],"role":[42],"distillation":[45,56,123,133],"is":[46],"often":[47],"overlooked.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,72,99,129,153],"propose":[53,155],"an":[54],"efficient":[55],"using":[57,167],"channel":[58,77,109],"pruning":[59,78],"detection.":[65],"Firstly,":[66],"given":[67,126],"the":[68,88,106,125,145,148,174],"complete":[69],"teacher":[70],"model,":[71],"introduce":[73,100],"random":[74],"and":[75,86,95,112,139],"magnitude":[76],"methods":[79],"to":[80,104,117,134],"generate":[81],"several":[82],"compact":[83],"student":[84],"models":[85,121],"investigate":[87],"effects":[89],"of":[90,108,147,176],"different":[91],"combinations":[92],"on":[93,164],"2D":[96],"layers.":[97],"Secondly,":[98],"compression":[102,110],"scores":[103],"explore":[105],"impact":[107],"ratios":[111],"input":[113],"resolutions,":[114],"enabling":[115],"us":[116],"select":[118],"suitable":[119],"pruned":[120],"from":[124],"set.":[127],"Furthermore,":[128],"employ":[130],"multi-source":[131],"facilitate":[135],"more":[136],"spatial":[138],"semantic":[140],"transfer.":[142],"To":[143],"highlight":[144],"features":[146],"foreground":[149],"regions":[150],"during":[151],"then":[154],"a":[156],"soft":[157],"pivotal":[158],"position":[159],"selection":[160],"mask.":[161],"Extensive":[162],"evaluations":[163],"various":[165],"datasets":[166],"both":[168],"pillar-and":[169],"voxel-based":[170],"validate":[173],"efficiency":[175],"our":[177],"method":[178],"compressing":[180],"detectors.":[184],"Codes":[185],"publicly":[187],"available":[188],"at":[189],"https://github.com/lifuyang-1919/Efficient-Distillation.git":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
