{"id":"https://openalex.org/W4387803039","doi":"https://doi.org/10.1109/igarss52108.2023.10282614","title":"Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets","display_name":"Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803039","doi":"https://doi.org/10.1109/igarss52108.2023.10282614"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282614","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5074855050","display_name":"Ho\u00e0ng-\u00c2n L\u00ea","orcid":"https://orcid.org/0000-0002-7896-5967"},"institutions":[{"id":"https://openalex.org/I2802204017","display_name":"Universit\u00e9 de Bretagne Sud","ror":"https://ror.org/04ed7fw48","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802204017"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ho\u00e0ng-\u00c2n L\u00ea","raw_affiliation_strings":["Universit&#x00E9; Bretagne Sud,IRISA,Vannes,France,56000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Bretagne Sud,IRISA,Vannes,France,56000","institution_ids":["https://openalex.org/I2802204017","https://openalex.org/I2802519937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042574715","display_name":"Minh\u2010Tan Pham","orcid":"https://orcid.org/0000-0003-0266-767X"},"institutions":[{"id":"https://openalex.org/I2802204017","display_name":"Universit\u00e9 de Bretagne Sud","ror":"https://ror.org/04ed7fw48","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802204017"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Minh-Tan Pham","raw_affiliation_strings":["Universit&#x00E9; Bretagne Sud,IRISA,Vannes,France,56000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Bretagne Sud,IRISA,Vannes,France,56000","institution_ids":["https://openalex.org/I2802204017","https://openalex.org/I2802519937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4855,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7289769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6194","last_page":"6197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.8115583658218384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8064130544662476},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6335395574569702},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5932521820068359},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5251460075378418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4970448315143585},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4699098467826843},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4600870609283447},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4071757197380066},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4028290808200836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3669660687446594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31779006123542786},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06738823652267456}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8115583658218384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064130544662476},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6335395574569702},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5932521820068359},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5251460075378418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4970448315143585},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4699098467826843},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4600870609283447},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4071757197380066},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4028290808200836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3669660687446594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31779006123542786},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06738823652267456},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282614","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04357119v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04357119","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, France. pp.6194-6197, &#x27E8;10.1109/IGARSS52108.2023.10282614&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2059212440","display_name":"Earth Observation with Optimal Transport for Artificial Intelligence","funder_award_id":"ANR-20-CHIA-0030","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2031489346","https://openalex.org/W2176924101","https://openalex.org/W2565639579","https://openalex.org/W2959289524","https://openalex.org/W2962721361","https://openalex.org/W2963351448","https://openalex.org/W2963474687","https://openalex.org/W2963857746","https://openalex.org/W2990792015","https://openalex.org/W3034879391","https://openalex.org/W3092663126","https://openalex.org/W3102710196","https://openalex.org/W3121634539","https://openalex.org/W3137565378","https://openalex.org/W3173462348","https://openalex.org/W3176459575","https://openalex.org/W3213350577","https://openalex.org/W4225361980","https://openalex.org/W4289527857","https://openalex.org/W4297670610","https://openalex.org/W4313119505","https://openalex.org/W6638523607","https://openalex.org/W6748130322","https://openalex.org/W6779586474","https://openalex.org/W6779679448","https://openalex.org/W6789011712","https://openalex.org/W6803837815","https://openalex.org/W6810487897"],"related_works":["https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W1689909837","https://openalex.org/W4293054914","https://openalex.org/W4298525700","https://openalex.org/W2963418361","https://openalex.org/W2953362004"],"abstract_inverted_index":{"Knowledge":[0],"distillation,":[1],"a":[2,26],"well-known":[3,69],"model":[4],"compression":[5],"technique,":[6],"is":[7],"an":[8],"active":[9],"research":[10],"area":[11],"in":[12,25],"both":[13,55],"computer":[14,44],"vision":[15,45],"and":[16,58,74,86,96,103],"remote":[17,27,107],"sensing":[18,28,108],"communities.":[19],"In":[20,51],"this":[21],"paper,":[22],"we":[23],"evaluate":[24],"context":[29],"various":[30],"off-the-shelf":[31],"object":[32],"detection":[33,66],"knowledge":[34],"distillation":[35],"methods":[36,53],"which":[37],"have":[38],"been":[39],"originally":[40],"developed":[41],"on":[42,106],"generic":[43],"datasets":[46],"such":[47,71],"as":[48,72],"Pascal":[49],"VOC.":[50],"particular,":[52],"covering":[54],"logit":[56],"mimicking":[57],"feature":[59],"imitation":[60],"approaches":[61],"are":[62,79],"applied":[63],"for":[64],"vehicle":[65],"using":[67],"the":[68,83,89,98],"benchmarks":[70],"xView":[73],"VEDAI":[75],"datasets.":[76,109],"Extensive":[77],"experiments":[78],"performed":[80],"to":[81],"compare":[82],"relative":[84],"performance":[85],"interrelationships":[87],"of":[88,100],"methods.":[90],"Experimental":[91],"results":[92],"show":[93],"high":[94],"variations":[95],"confirm":[97],"importance":[99],"result":[101],"aggregation":[102],"cross":[104],"validation":[105]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2023-10-21T00:00:00"}
