{"id":"https://openalex.org/W4399257627","doi":"https://doi.org/10.1145/3653781.3653784","title":"Masked Image Modeling Knowledge Distillation Based on Mutual Learning","display_name":"Masked Image Modeling Knowledge Distillation Based on Mutual Learning","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4399257627","doi":"https://doi.org/10.1145/3653781.3653784"},"language":"en","primary_location":{"id":"doi:10.1145/3653781.3653784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","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/A5059836458","display_name":"Yi Zhang","orcid":"https://orcid.org/0009-0009-2726-5977"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["State Grid Laboratory of Grid Advanced Computing and Applications, State Grid Smart Grid Research Institute Co.ltd., China"],"raw_orcid":"https://orcid.org/0000-0002-9421-3626","affiliations":[{"raw_affiliation_string":"State Grid Laboratory of Grid Advanced Computing and Applications, State Grid Smart Grid Research Institute Co.ltd., China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049576699","display_name":"Zexu Du","orcid":"https://orcid.org/0000-0003-2741-4724"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexu Du","raw_affiliation_strings":["State Grid Laboratory of Grid Advanced Computing and Applications, State Grid Smart Grid Research Institute Co.ltd., China"],"raw_orcid":"https://orcid.org/0000-0003-2741-4724","affiliations":[{"raw_affiliation_string":"State Grid Laboratory of Grid Advanced Computing and Applications, State Grid Smart Grid Research Institute Co.ltd., China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052679559","display_name":"Wei Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["State Grid Laboratory of Grid Advanced Computing and Applications, State Grid Smart Grid Research Institute Co.ltd., China"],"raw_orcid":"https://orcid.org/0009-0000-4339-2524","affiliations":[{"raw_affiliation_string":"State Grid Laboratory of Grid Advanced Computing and Applications, State Grid Smart Grid Research Institute Co.ltd., China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040091490","display_name":"Zongbo Chu","orcid":"https://orcid.org/0009-0007-8499-2148"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongbo Chu","raw_affiliation_strings":["State Grid Laboratory of Grid Advanced Computing and Applications, State Grid Smart Grid Research Institute Co.ltd., China"],"raw_orcid":"https://orcid.org/0009-0007-8499-2148","affiliations":[{"raw_affiliation_string":"State Grid Laboratory of Grid Advanced Computing and Applications, State Grid Smart Grid Research Institute Co.ltd., China","institution_ids":["https://openalex.org/I17442442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059836458"],"corresponding_institution_ids":["https://openalex.org/I17442442"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06505127,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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":0.9970999956130981,"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/distillation","display_name":"Distillation","score":0.793039083480835},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7587889432907104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6887446641921997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6140148043632507},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6081509590148926},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5926504731178284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.555864691734314},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5216962695121765},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41255441308021545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37483182549476624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.31983983516693115},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09452170133590698}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.793039083480835},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7587889432907104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887446641921997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140148043632507},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6081509590148926},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5926504731178284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.555864691734314},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5216962695121765},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41255441308021545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37483182549476624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31983983516693115},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09452170133590698},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653781.3653784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","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":11,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2620998106","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2964118293","https://openalex.org/W2996970889","https://openalex.org/W3004127093","https://openalex.org/W3170863103","https://openalex.org/W4224024410","https://openalex.org/W4312764321","https://openalex.org/W4394668313"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644"],"abstract_inverted_index":{"Abstract:":[0],"With":[1],"the":[2,6,72,91,108,112,117,120,127],"rapid":[3],"improvement":[4],"of":[5,8,74,102,111,119],"performance":[7],"large":[9],"models,":[10],"pre-training":[11],"a":[12,21,31,38],"large-scale":[13,52],"model":[14,68,114,129],"and":[15],"fine-tuning":[16],"on":[17,30,124],"downstream":[18,33,61],"has":[19],"become":[20],"trend.":[22],"However,":[23],"previous":[24],"knowledge":[25,50,148],"distillation":[26,40,149],"methods":[27,150],"mainly":[28],"concentrates":[29],"specific":[32],"task.":[34],"This":[35],"paper":[36],"proposes":[37],"novel":[39],"framework":[41,133],"Mutual":[42],"Distillation":[43],"for":[44,60],"Masked":[45],"Autoencoder":[46],"Model(MMIM)":[47],"which":[48,151],"transfers":[49],"from":[51],"pre-trained":[53,103],"visual":[54],"models":[55,80],"to":[56,70,83,96,115,139],"provide":[57],"smaller":[58],"backbones":[59],"tasks,":[62],"thereby":[63],"saving":[64],"time.":[65],"In":[66,142],"our":[67,132],"MMIM,":[69],"maintain":[71],"advantages":[73],"mutual":[75],"learning,":[76],"two":[77],"different":[78],"student":[79,121],"learn":[81],"collaboratively":[82],"boost":[84],"both":[85],"feature":[86,99,136],"representation":[87,100,137],"capabilities":[88],"simultaneously.":[89],"At":[90],"same":[92],"time,":[93],"in":[94],"order":[95],"utilize":[97],"powerful":[98,135],"capability":[101],"teacher":[104,113,140],"model,":[105],"we":[106],"use":[107],"intermediate":[109],"features":[110],"supervise":[116],"learning":[118],"models.":[122,155],"Experiments":[123],"ImageNet":[125],"demonstrates":[126],"compressed":[128],"obtained":[130],"by":[131],"possesses":[134],"comparable":[138],"model.":[141],"addition,":[143],"MMIM":[144],"also":[145],"outperforms":[146],"state-of-the-art":[147],"directly":[152],"distills":[153],"fine-tuned":[154]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}