{"id":"https://openalex.org/W4393054068","doi":"https://doi.org/10.1007/s44267-024-00040-3","title":"MSSD: multi-scale self-distillation for object detection","display_name":"MSSD: multi-scale self-distillation for object detection","publication_year":2024,"publication_date":"2024-03-21","ids":{"openalex":"https://openalex.org/W4393054068","doi":"https://doi.org/10.1007/s44267-024-00040-3"},"language":"en","primary_location":{"id":"doi:10.1007/s44267-024-00040-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44267-024-00040-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44267-024-00040-3.pdf","source":{"id":"https://openalex.org/S4387289164","display_name":"Visual Intelligence","issn_l":"2731-9008","issn":["2731-9008"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s44267-024-00040-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081823230","display_name":"Zi-Wei Jia","orcid":"https://orcid.org/0000-0003-3136-6577"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Jia","raw_affiliation_strings":["Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100947294","display_name":"Shengkun Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengkun Sun","raw_affiliation_strings":["Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019542310","display_name":"Guangcan Liu","orcid":"https://orcid.org/0000-0002-9428-4387"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcan Liu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114377956","display_name":"Bo Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["JD Finance America Corporation, Mountain View, USA"],"affiliations":[{"raw_affiliation_string":"JD Finance America Corporation, Mountain View, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081823230"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":6.8421,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.97749184,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"2","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9955000281333923,"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":0.9955000281333923,"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":0.991100013256073,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.989300012588501,"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/scale","display_name":"Scale (ratio)","score":0.5884321331977844},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5405082106590271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48896777629852295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45495739579200745},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.429280549287796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3492734432220459},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.3427773118019104},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.33799028396606445},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.2036978006362915},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14692354202270508},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0654015839099884},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.04306313395500183}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5884321331977844},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5405082106590271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48896777629852295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45495739579200745},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.429280549287796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3492734432220459},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3427773118019104},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.33799028396606445},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.2036978006362915},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14692354202270508},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0654015839099884},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.04306313395500183}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s44267-024-00040-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44267-024-00040-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44267-024-00040-3.pdf","source":{"id":"https://openalex.org/S4387289164","display_name":"Visual Intelligence","issn_l":"2731-9008","issn":["2731-9008"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s44267-024-00040-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44267-024-00040-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44267-024-00040-3.pdf","source":{"id":"https://openalex.org/S4387289164","display_name":"Visual Intelligence","issn_l":"2731-9008","issn":["2731-9008"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393054068.pdf"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1932624639","https://openalex.org/W2031446906","https://openalex.org/W2035856912","https://openalex.org/W2294370754","https://openalex.org/W2518164973","https://openalex.org/W2596164567","https://openalex.org/W2613718673","https://openalex.org/W2737121650","https://openalex.org/W2750784772","https://openalex.org/W2755925002","https://openalex.org/W2772955562","https://openalex.org/W2787752464","https://openalex.org/W2800816754","https://openalex.org/W2888173959","https://openalex.org/W2904734972","https://openalex.org/W2912083425","https://openalex.org/W2913059114","https://openalex.org/W2914304175","https://openalex.org/W2919011445","https://openalex.org/W2925359305","https://openalex.org/W2945133121","https://openalex.org/W2948527124","https://openalex.org/W2953303875","https://openalex.org/W2964217848","https://openalex.org/W2966475089","https://openalex.org/W2996569511","https://openalex.org/W3018757597","https://openalex.org/W3028304412","https://openalex.org/W3034368386","https://openalex.org/W3087502885","https://openalex.org/W3113303810","https://openalex.org/W3136450870","https://openalex.org/W3137084306","https://openalex.org/W3138154797","https://openalex.org/W3146175482","https://openalex.org/W3161332183","https://openalex.org/W3176531424","https://openalex.org/W3199782544","https://openalex.org/W4211131356","https://openalex.org/W4225767632","https://openalex.org/W4236965008","https://openalex.org/W4301409532","https://openalex.org/W4320487943","https://openalex.org/W4362597616","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6730903564","https://openalex.org/W6731892127","https://openalex.org/W6735463952","https://openalex.org/W6746370421","https://openalex.org/W6749783731","https://openalex.org/W6750227808","https://openalex.org/W6758975600","https://openalex.org/W6773646775","https://openalex.org/W6773900053","https://openalex.org/W6784704298","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3085764877","https://openalex.org/W2514414740","https://openalex.org/W2377414158","https://openalex.org/W3199615306","https://openalex.org/W77207468","https://openalex.org/W3212781313","https://openalex.org/W4307725381","https://openalex.org/W124863575","https://openalex.org/W3203147184","https://openalex.org/W2037691954"],"abstract_inverted_index":{"Abstract":[0],"Knowledge":[1],"distillation":[2,88,122,168],"techniques":[3],"have":[4],"been":[5],"widely":[6],"used":[7],"in":[8,59,127,166,190],"the":[9,60,76,79,102,107,124,135,150,160,167,176,193,197],"field":[10],"of":[11,27,45,62,78,89,104,123,162,199],"deep":[12],"learning,":[13],"usually":[14],"by":[15,93],"extracting":[16],"valid":[17],"information":[18,125],"from":[19],"a":[20,24,30,38,42,48,94,113,145,180,187,200],"neural":[21,39],"network":[22,40,91],"with":[23,41],"large":[25],"number":[26,44],"parameters":[28,46],"and":[29,47,66,111],"high":[31],"learning":[32,50],"capacity":[33,51],"(the":[34,52],"teacher":[35,65,80,201],"model)":[36],"to":[37,85,106,158],"small":[43,139],"low":[49],"student":[53,69],"model).":[54],"However,":[55],"there":[56],"are":[57],"inefficiencies":[58],"transfer":[61],"knowledge":[63,77,87,121],"between":[64],"student.":[67],"The":[68,184],"model":[70,136,195],"does":[71],"not":[72],"fully":[73],"learn":[74],"all":[75],"model.":[81,202],"Therefore,":[82],"we":[83,118,143],"aim":[84],"achieve":[86],"our":[90,173],"layer":[92],"single":[95],"model,":[96],"i.e.,":[97],"self-distillation.":[98],"We":[99,170],"also":[100],"apply":[101],"idea":[103],"self-distillation":[105,115],"object":[108],"detection":[109,156,165],"task":[110],"propose":[112,144],"multi-scale":[114],"approach,":[116],"where":[117],"argue":[119],"that":[120],"contained":[126],"feature":[128],"maps":[129],"at":[130],"different":[131],"scales":[132],"can":[133],"help":[134],"better":[137],"detect":[138],"targets.":[140],"In":[141],"addition,":[142],"Gaussian":[146],"mask":[147],"based":[148],"on":[149,175],"target":[151,163],"region":[152],"as":[153],"an":[154],"auxiliary":[155],"method":[157],"improve":[159],"accuracy":[161,191],"position":[164],"process.":[169],"then":[171],"validate":[172],"approach":[174],"KITTI":[177],"dataset":[178],"using":[179],"single-stage":[181],"detector":[182],"YOLO.":[183],"results":[185],"demonstrate":[186],"2.8%":[188],"improvement":[189],"over":[192],"baseline":[194],"without":[196],"use":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}