{"id":"https://openalex.org/W4405710071","doi":"https://doi.org/10.1109/robot61475.2024.10796955","title":"Enhancing Efficiency in 3D Object Detection with Knowledge Distillation","display_name":"Enhancing Efficiency in 3D Object Detection with Knowledge Distillation","publication_year":2024,"publication_date":"2024-11-06","ids":{"openalex":"https://openalex.org/W4405710071","doi":"https://doi.org/10.1109/robot61475.2024.10796955"},"language":"en","primary_location":{"id":"doi:10.1109/robot61475.2024.10796955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot61475.2024.10796955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th Iberian Robotics Conference (ROBOT)","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/A5101548724","display_name":"Jo\u00e3o Correia","orcid":"https://orcid.org/0000-0001-5718-0434"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Correia","raw_affiliation_strings":["Institute for Systems and Robotics,Lisbon,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Robotics,Lisbon,Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102952170","display_name":"Pl\u00ednio Moreno","orcid":"https://orcid.org/0000-0002-0496-2050"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Plinio Moreno","raw_affiliation_strings":["Institute for Systems and Robotics,Lisbon,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Robotics,Lisbon,Portugal","institution_ids":["https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.33561531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9822999835014343,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9822999835014343,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.972100019454956,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9340000152587891,"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":0.6565299034118652},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6207013130187988},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5824819803237915},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48692476749420166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3833968937397003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.232294499874115},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.12935051321983337},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10497695207595825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565299034118652},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6207013130187988},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5824819803237915},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48692476749420166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3833968937397003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.232294499874115},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.12935051321983337},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10497695207595825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robot61475.2024.10796955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot61475.2024.10796955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th Iberian Robotics Conference (ROBOT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2555618208","https://openalex.org/W2739879705","https://openalex.org/W2808373772","https://openalex.org/W2883780447","https://openalex.org/W2886756692","https://openalex.org/W2897529137","https://openalex.org/W2948515602","https://openalex.org/W2954174912","https://openalex.org/W2963323244","https://openalex.org/W2963727135","https://openalex.org/W2965100203","https://openalex.org/W2968296999","https://openalex.org/W2971262757","https://openalex.org/W3011091971","https://openalex.org/W3035049382","https://openalex.org/W3035461736","https://openalex.org/W3035574168","https://openalex.org/W3109395584","https://openalex.org/W3117234758","https://openalex.org/W3215100485","https://openalex.org/W4214558638","https://openalex.org/W4225793049","https://openalex.org/W4312641958","https://openalex.org/W4312894406","https://openalex.org/W4312954223","https://openalex.org/W4321483897","https://openalex.org/W4386072002","https://openalex.org/W4386076222","https://openalex.org/W6637551013","https://openalex.org/W6691815588","https://openalex.org/W6737664043","https://openalex.org/W6743188669","https://openalex.org/W6748163181","https://openalex.org/W6751751081","https://openalex.org/W6757817989","https://openalex.org/W6762718338","https://openalex.org/W6799331316","https://openalex.org/W6802311648"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4312842780","https://openalex.org/W2883677709","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"3D":[0],"object":[1],"detection":[2],"is":[3],"a":[4,63,76,95],"critical":[5],"task":[6],"in":[7,125],"various":[8],"applications":[9],"today,":[10],"such":[11],"as":[12],"autonomous":[13],"driving":[14],"and":[15,30,100,116,133],"robotics.":[16],"Recently,":[17],"camera-based":[18],"approaches":[19],"have":[20],"gained":[21],"popularity":[22],"over":[23],"LiDAR-based":[24,39],"ones":[25],"due":[26],"to":[27,69,74,118],"their":[28,38],"cost-effectiveness":[29],"more":[31],"flexible":[32],"capabilities.":[33],"Although":[34],"generally":[35],"lighter":[36,78],"than":[37],"counterparts,":[40],"almost":[41],"all":[42],"state":[43,120],"of":[44,121,127],"the":[45,70,90,108,112,122,128],"art":[46,123],"works":[47,124],"heavily":[48],"depend":[49],"on":[50,111],"computationally":[51],"intensive":[52],"deep":[53],"learning":[54],"methods,":[55],"which":[56],"are":[57],"still":[58],"quite":[59],"demanding.":[60],"We":[61,106],"introduce":[62],"method":[64],"for":[65,86,103],"knowledge":[66],"distillation":[67],"tailored":[68],"regression":[71],"problem,":[72],"aiming":[73],"train":[75],"significantly":[77],"student":[79],"network":[80],"by":[81],"considering":[82],"multiple":[83],"loss":[84],"functions":[85],"this":[87],"purpose.":[88],"Regarding":[89],"teacher":[91],"model,":[92],"we":[93],"utilize":[94],"bird's-eye-view":[96],"(BEV)":[97],"based":[98],"architecture":[99],"propose":[101],"suggestions":[102],"its":[104],"improvement.":[105],"evaluate":[107],"proposed":[109],"methods":[110],"large-scale":[113],"dataset":[114],"nuScenes":[115],"manage":[117],"outperform":[119],"terms":[126],"trade":[129],"off":[130],"between":[131],"accuracy":[132],"computing":[134],"time.":[135]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
