{"id":"https://openalex.org/W4392904096","doi":"https://doi.org/10.1109/icassp48485.2024.10447709","title":"Similarity Knowledge Distillation with Calibrated Mask","display_name":"Similarity Knowledge Distillation with Calibrated Mask","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904096","doi":"https://doi.org/10.1109/icassp48485.2024.10447709"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100758617","display_name":"Qi Wang","orcid":"https://orcid.org/0009-0007-9056-9522"},"institutions":[{"id":"https://openalex.org/I4210142656","display_name":"Instrumentation Technology and Economy Institute","ror":"https://ror.org/04983b693","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142656"]},{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Wang","raw_affiliation_strings":["Southwest University of Science and Technology","Instrumentation Technology and Economy Institute, P.R.China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"Instrumentation Technology and Economy Institute, P.R.China","institution_ids":["https://openalex.org/I4210142656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049814360","display_name":"Wenxin Yu","orcid":"https://orcid.org/0000-0002-6093-5516"},"institutions":[{"id":"https://openalex.org/I4210147894","display_name":"Institut de Recherche et d\u2019Innovation","ror":"https://ror.org/04nqadf13","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210147894"]},{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Wenxin Yu","raw_affiliation_strings":["Southwest University of Science and Technology","Tianfu Institute of Research and Innovation, Southwest University of Science and Technology","Sichuan Civil-Military Integration Institute"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"Tianfu Institute of Research and Innovation, Southwest University of Science and Technology","institution_ids":["https://openalex.org/I4210147894","https://openalex.org/I1297991670"]},{"raw_affiliation_string":"Sichuan Civil-Military Integration Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100530033","display_name":"Lu Che","orcid":null},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Che","raw_affiliation_strings":["Southwest University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652633","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0002-1213-9814"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Southwest University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019348755","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-2408-366X"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Southwest University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077740878","display_name":"Jun Gong","orcid":"https://orcid.org/0000-0003-3132-6321"},"institutions":[{"id":"https://openalex.org/I1290463931","display_name":"Southwest Research Institute","ror":"https://ror.org/03tghng59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1290463931"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Gong","raw_affiliation_strings":["Southwest Automation Research Institute"],"affiliations":[{"raw_affiliation_string":"Southwest Automation Research Institute","institution_ids":["https://openalex.org/I1290463931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115604287","display_name":"Peng Chen","orcid":"https://orcid.org/0009-0006-4870-2716"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["Chengdu Hongchengyun Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Chengdu Hongchengyun Technology Co., Ltd","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100758617"],"corresponding_institution_ids":["https://openalex.org/I1297991670","https://openalex.org/I4210142656"],"apc_list":null,"apc_paid":null,"fwci":0.3407,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61346346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5770","last_page":"5774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987000226974487,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.729717493057251},{"id":"https://openalex.org/keywords/extant-taxon","display_name":"Extant taxon","score":0.7004097700119019},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.670932412147522},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6369948387145996},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6320433020591736},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6281383633613586},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6166810989379883},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5545015335083008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5226799845695496},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4805639088153839},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4768192172050476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4396902620792389},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37929487228393555},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2654047906398773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15494990348815918},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12046155333518982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729717493057251},{"id":"https://openalex.org/C178300618","wikidata":"https://www.wikidata.org/wiki/Q1898509","display_name":"Extant taxon","level":2,"score":0.7004097700119019},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.670932412147522},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6369948387145996},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6320433020591736},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6281383633613586},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6166810989379883},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5545015335083008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5226799845695496},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4805639088153839},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4768192172050476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4396902620792389},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37929487228393555},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2654047906398773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15494990348815918},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12046155333518982},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G203206473","display_name":null,"funder_award_id":"2022YFF0605","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3840084921","display_name":null,"funder_award_id":"2022YFF0605205","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320322559","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W2108598243","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2561238782","https://openalex.org/W2739879705","https://openalex.org/W2805003733","https://openalex.org/W2883780447","https://openalex.org/W2896409484","https://openalex.org/W2936864631","https://openalex.org/W2962965870","https://openalex.org/W2963122961","https://openalex.org/W2963140444","https://openalex.org/W2963163009","https://openalex.org/W2964111476","https://openalex.org/W2964137095","https://openalex.org/W3034116961","https://openalex.org/W3118608800","https://openalex.org/W3174102142","https://openalex.org/W3202329792","https://openalex.org/W4213068745","https://openalex.org/W4226087293","https://openalex.org/W4307313268","https://openalex.org/W4312443924","https://openalex.org/W4365420476","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6726275242","https://openalex.org/W6730179637","https://openalex.org/W6751979845","https://openalex.org/W6755843862","https://openalex.org/W6769906912","https://openalex.org/W6779830883","https://openalex.org/W6787972765","https://openalex.org/W6789657409","https://openalex.org/W6847036251"],"related_works":["https://openalex.org/W3016239368","https://openalex.org/W2402755139","https://openalex.org/W4290948148","https://openalex.org/W4249944690","https://openalex.org/W2353808877","https://openalex.org/W414826439","https://openalex.org/W1530876234","https://openalex.org/W2807827247","https://openalex.org/W2903896635","https://openalex.org/W4388321633"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"novel":[6],"and":[7,17,50,67,79,103,126],"efficient":[8],"method":[9,23,91],"for":[10],"knowledge":[11],"distillation,":[12],"which":[13,34],"is":[14,30,92],"structurally":[15],"simple":[16],"requires":[18],"negligible":[19],"computation":[20],"overhead.":[21],"Our":[22,90],"includes":[24],"three":[25,88],"modules.":[26,89],"The":[27,71,105],"first":[28],"module":[29,49,53],"the":[31,36,43,47,51,55,58,62,65,68,83,111,119],"calibrated":[32],"mask,":[33],"avoids":[35],"teacher":[37],"model\u2019s":[38,45],"incorrect":[39],"representation":[40],"to":[41,110],"disturb":[42],"student":[44,59,72],"training;":[46],"second":[48],"third":[52],"improve":[54],"performance":[56,76,113],"of":[57,64,86,98,114],"model":[60,73],"by":[61],"similarity":[63],"sample":[66],"process,":[69],"respectively.":[70],"attains":[74],"better":[75,112],"in":[77],"qualitative":[78],"quantitative":[80],"evaluation":[81],"through":[82,95],"judicious":[84],"amalgamation":[85],"these":[87],"experimented":[93],"with":[94],"rigorous":[96],"validation":[97],"canonical":[99],"datasets,":[100],"including":[101],"CIFAR-100":[102],"TinyImageNet.":[104],"experimental":[106],"corroboration":[107],"conclusively":[108],"attests":[109],"our":[115],"method,":[116],"soaring":[117],"above":[118],"extant":[120],"most":[121],"state-of-the-art":[122],"on":[123],"both":[124],"subjective":[125],"objective":[127],"dimensions.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
