{"id":"https://openalex.org/W4403780617","doi":"https://doi.org/10.1145/3664647.3681520","title":"MDR: Multi-stage Decoupled Relational Knowledge Distillation with Adaptive Stage Selection","display_name":"MDR: Multi-stage Decoupled Relational Knowledge Distillation with Adaptive Stage Selection","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403780617","doi":"https://doi.org/10.1145/3664647.3681520"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681520","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5103129809","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0000-0002-2317-6223"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqi Wang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032753984","display_name":"Lu Lu","orcid":"https://orcid.org/0000-0002-2936-9536"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Lu","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057267422","display_name":"Mingmin Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingmin Chi","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100566573","display_name":"Jian Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103129809"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16658675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2175","last_page":"2183"},"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":0.9983000159263611,"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":0.9983000159263611,"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/T10320","display_name":"Neural Networks and Applications","score":0.9965999722480774,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.988099992275238,"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/stage","display_name":"Stage (stratigraphy)","score":0.8274662494659424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6857200860977173},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6774768829345703},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6333761215209961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3929367959499359},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34187084436416626},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11701080203056335},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07905161380767822},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07028141617774963}],"concepts":[{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.8274662494659424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6857200860977173},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6774768829345703},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6333761215209961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3929367959499359},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34187084436416626},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11701080203056335},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07905161380767822},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07028141617774963},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681520","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2739879705","https://openalex.org/W2752782242","https://openalex.org/W2883780447","https://openalex.org/W2887783173","https://openalex.org/W2936864631","https://openalex.org/W2963140444","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2964137095","https://openalex.org/W2982157312","https://openalex.org/W2982242214","https://openalex.org/W2986015886","https://openalex.org/W3034368386","https://openalex.org/W3034609471","https://openalex.org/W3091973414","https://openalex.org/W3109689953","https://openalex.org/W3138154797","https://openalex.org/W3177196641","https://openalex.org/W3202329792","https://openalex.org/W3205307530","https://openalex.org/W4226426325","https://openalex.org/W4304092744","https://openalex.org/W4313141028","https://openalex.org/W4386065360","https://openalex.org/W4388192054"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W3026162553","https://openalex.org/W4324058133","https://openalex.org/W648618910","https://openalex.org/W4205762803","https://openalex.org/W4393624937","https://openalex.org/W4296658948"],"abstract_inverted_index":{"The":[0],"effectiveness":[1,39],"of":[2,40,90,164,171],"contrastive-learning-based":[3,51],"Knowledge":[4],"Distillation":[5],"(KD)":[6],"has":[7],"sparked":[8],"renewed":[9],"interest":[10],"in":[11,114],"relational":[12,30,48,93,110],"distillation,":[13],"but":[14],"these":[15],"methods":[16,52],"typically":[17],"focus":[18],"on":[19,131,173],"angle-wise":[20,62,98],"information":[21,31,49,101],"from":[22,33],"the":[23,38,84,88,92,124,162,165],"penultimate":[24],"layer.":[25],"We":[26,42],"show":[27],"that":[28,45,86],"exploiting":[29],"derived":[32],"intermediate":[34],"layers":[35],"further":[36],"improves":[37],"distillation.":[41],"also":[43],"find":[44],"adding":[46],"distance-wise":[47,64,100],"to":[50,82,102],"negatively":[53],"impacts":[54],"distillation":[55,120],"quality,":[56],"revealing":[57],"an":[58,78,115,168],"implicit":[59],"contention":[60],"between":[61],"and":[63,99,119,138,150],"attributes.":[65],"Therefore,":[66],"we":[67,127],"propose":[68],"a":[69],"Multi-stage":[70],"Decoupled":[71],"Relational":[72],"(MDR)":[73],"KD":[74],"framework":[75,96],"equipped":[76],"with":[77],"adaptive":[79],"stage":[80],"selection":[81],"identify":[83],"stages":[85],"maximize":[87],"efficacy":[89],"transferring":[91,117],"knowledge.":[94],"MDR":[95],"decouples":[97],"resolve":[103],"their":[104],"conflicts":[105],"while":[106],"still":[107],"preserving":[108],"complete":[109],"knowledge,":[111],"thereby":[112],"resulting":[113],"elevated":[116],"efficiency":[118],"quality.":[121],"To":[122],"evaluate":[123],"proposed":[125],"method,":[126],"conduct":[128],"extensive":[129],"experiments":[130],"multiple":[132],"image":[133],"benchmarks":[134],"i.e.":[135,144],"CIFAR100,":[136],"ImageNet":[137],"Pascal":[139],"VOC,":[140],"covering":[141],"various":[142],"tasks":[143],"classification,":[145],"few-shot":[146],"learning,":[147],"transfer":[148],"learning":[149],"object":[151],"detection.":[152],"Our":[153],"method":[154],"exhibits":[155],"superior":[156],"performance":[157],"under":[158],"diverse":[159],"scenarios,":[160],"surpassing":[161],"state":[163],"art":[166],"by":[167],"average":[169],"improvement":[170],"1.22%":[172],"CIFAR-100":[174],"across":[175],"extensively":[176],"utilized":[177],"teacher-student":[178],"network":[179],"pairs.":[180]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
