{"id":"https://openalex.org/W2991479749","doi":"https://doi.org/10.1109/itsc.2019.8917199","title":"Long-Term Knowledge Distillation of Visual Place Classifiers","display_name":"Long-Term Knowledge Distillation of Visual Place Classifiers","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991479749","doi":"https://doi.org/10.1109/itsc.2019.8917199","mag":"2991479749"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083535763","display_name":"Hiroki Tomoe","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Tomoe","raw_affiliation_strings":["University of Fukui, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007423029","display_name":"Tanaka Kanji","orcid":"https://orcid.org/0000-0002-1143-5478"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tanaka Kanji","raw_affiliation_strings":["University of Fukui, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111966504"],"apc_list":null,"apc_paid":null,"fwci":4.7789,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.96440037,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"40","issue":null,"first_page":"541","last_page":"546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976000189781189,"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":0.6548390984535217},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.643996000289917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5939763784408569},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5893519520759583},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5368241667747498},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.49940037727355957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4895711839199066},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.48057079315185547},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.45342469215393066},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4344950318336487},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4159690737724304},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.410104364156723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3831329345703125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21028271317481995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08636835217475891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548390984535217},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.643996000289917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5939763784408569},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5893519520759583},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5368241667747498},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.49940037727355957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4895711839199066},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.48057079315185547},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.45342469215393066},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4344950318336487},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4159690737724304},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.410104364156723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3831329345703125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21028271317481995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08636835217475891},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8917199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.550000011920929,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4318353608","display_name":"The realization of next-generation SLAM technique with incremental adaptation to changing domains: cross-domain map learning","funder_award_id":"17K00361","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W1033316025","https://openalex.org/W1522301498","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1875235752","https://openalex.org/W1902041153","https://openalex.org/W1919191429","https://openalex.org/W2106390255","https://openalex.org/W2110405746","https://openalex.org/W2119144962","https://openalex.org/W2161591461","https://openalex.org/W2163605009","https://openalex.org/W2167215970","https://openalex.org/W2173379916","https://openalex.org/W2174786457","https://openalex.org/W2200124539","https://openalex.org/W2253986341","https://openalex.org/W2267635276","https://openalex.org/W2294370754","https://openalex.org/W2335829695","https://openalex.org/W2409942329","https://openalex.org/W2472269674","https://openalex.org/W2508418541","https://openalex.org/W2556455135","https://openalex.org/W2561611286","https://openalex.org/W2584731199","https://openalex.org/W2591696231","https://openalex.org/W2592183487","https://openalex.org/W2592732803","https://openalex.org/W2598706937","https://openalex.org/W2605111497","https://openalex.org/W2610927735","https://openalex.org/W2620629206","https://openalex.org/W2620998106","https://openalex.org/W2622863990","https://openalex.org/W2737902016","https://openalex.org/W2744874208","https://openalex.org/W2749379418","https://openalex.org/W2767286887","https://openalex.org/W2769956639","https://openalex.org/W2785901219","https://openalex.org/W2787602731","https://openalex.org/W2790149178","https://openalex.org/W2796585014","https://openalex.org/W2803023299","https://openalex.org/W2883823472","https://openalex.org/W2886950786","https://openalex.org/W2887816175","https://openalex.org/W2895046241","https://openalex.org/W2895847040","https://openalex.org/W2904243882","https://openalex.org/W2904501409","https://openalex.org/W2920272101","https://openalex.org/W2950248853","https://openalex.org/W2951019013","https://openalex.org/W2952300473","https://openalex.org/W2952899695","https://openalex.org/W2962946266","https://openalex.org/W2963024893","https://openalex.org/W2964118293","https://openalex.org/W2964121744","https://openalex.org/W2964222566","https://openalex.org/W2964299589","https://openalex.org/W2990482093","https://openalex.org/W3099180908","https://openalex.org/W3102032239","https://openalex.org/W3102617634","https://openalex.org/W3102992261","https://openalex.org/W3106440972","https://openalex.org/W4293390340","https://openalex.org/W4295262505","https://openalex.org/W4298174377","https://openalex.org/W4302614955","https://openalex.org/W6618872416","https://openalex.org/W6631190155","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6677580257","https://openalex.org/W6683826617","https://openalex.org/W6684191040","https://openalex.org/W6684563725","https://openalex.org/W6685316698","https://openalex.org/W6685726866","https://openalex.org/W6693397755","https://openalex.org/W6734167924","https://openalex.org/W6737549122","https://openalex.org/W6739318517","https://openalex.org/W6745978776","https://openalex.org/W6751751081"],"related_works":["https://openalex.org/W3163481960","https://openalex.org/W3093895509","https://openalex.org/W2323394100","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Most":[0],"of":[1,26,51,82,87,99,138,156],"the":[2,24,80,96,113,124,136,154,157],"current":[3,130],"state-of-the-art":[4],"frameworks":[5,30],"for":[6,66],"cross-":[7],"season":[8,101],"visual":[9],"place":[10],"recognition":[11],"(CS-VPR)":[12],"focus":[13],"on":[14,150],"domain":[15],"adaptation":[16],"(DA)":[17],"to":[18,35,55,141],"a":[19,57,67,83,103,129,143],"single":[20],"specific":[21],"season.":[22],"From":[23],"viewpoint":[25],"long-term":[27,59],"CS-VPR,":[28],"such":[29],"do":[31],"not":[32],"scale":[33],"well":[34],"sequential":[36],"multiple":[37],"domains":[38],"(e.g.,":[39],"spring":[40],"\u2192":[41,43,45,47],"summer":[42],"autumun":[44],"winter":[46],"\u22ef).":[48],"The":[49],"goal":[50],"this":[52],"study":[53],"is":[54],"develop":[56],"novel":[58],"ensemble":[60,98],"learning":[61],"(LEL)":[62],"framework":[63],"that":[64],"allows":[65],"constant":[68,85,105],"cost":[69],"retraining":[70],"in":[71],"long-":[72],"term":[73],"sequential-multi-domain":[74],"CS-VPR":[75],"(SMD-VPR),":[76],"which":[77,119],"only":[78],"requires":[79],"memorization":[81],"small":[84,104],"number":[86],"deep":[88],"convolutional":[89],"neural":[90],"networks":[91],"(CNNs)":[92],"and":[93],"can":[94],"retrain":[95],"CNN":[97,131],"every":[100],"at":[102],"time/space":[106],"cost.":[107],"We":[108,133],"frame":[109],"our":[110],"task":[111],"as":[112],"multi-teacher":[114],"multi-student":[115],"knowledge":[116,127],"distillation":[117],"(MTMS-KD),":[118],"re-":[120],"cursively":[121],"compresses":[122],"all":[123],"previous":[125],"season's":[126],"into":[128],"ensemble.":[132],"further":[134],"address":[135],"issue":[137],"teacher-student-assignment":[139],"(TSA)":[140],"achieve":[142],"good":[144],"general-":[145],"ization/specialization":[146],"tradeoff.":[147],"Experimental":[148],"results":[149],"SMD-VPR":[151],"tasks":[152],"validate":[153],"efficacy":[155],"proposed":[158],"approach.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
