{"id":"https://openalex.org/W4406416761","doi":"https://doi.org/10.1109/tim.2025.3527528","title":"Class-Incremental Player Detection With Refined Response-Based Knowledge Distillation","display_name":"Class-Incremental Player Detection With Refined Response-Based Knowledge Distillation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406416761","doi":"https://doi.org/10.1109/tim.2025.3527528"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3527528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3527528","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5100517180","display_name":"Liang Bai","orcid":"https://orcid.org/0009-0003-4806-4273"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Bai","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080934752","display_name":"Hangjie Yuan","orcid":"https://orcid.org/0009-0009-3270-1526"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangjie Yuan","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769854","display_name":"Hong Song","orcid":"https://orcid.org/0000-0002-3171-2604"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Song","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104106267","display_name":"Tao Feng","orcid":"https://orcid.org/0000-0001-5571-8018"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Feng","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643476","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-1250-6319"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100517180"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":2.9105,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88604186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.995199978351593,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.97079998254776,"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":0.6187334060668945},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5912554264068604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5625799894332886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34438446164131165},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.1370861530303955},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11453008651733398}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6187334060668945},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5912554264068604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625799894332886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34438446164131165},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.1370861530303955},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11453008651733398}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3527528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3527528","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7885736265","display_name":null,"funder_award_id":"2022ZD0118004","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8903378341","display_name":null,"funder_award_id":"62025104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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":43,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2154880310","https://openalex.org/W2252355370","https://openalex.org/W2473930607","https://openalex.org/W2570343428","https://openalex.org/W2811186270","https://openalex.org/W2962966271","https://openalex.org/W2963150697","https://openalex.org/W2963854696","https://openalex.org/W2984276908","https://openalex.org/W2998792609","https://openalex.org/W3030364939","https://openalex.org/W3035396860","https://openalex.org/W3108509967","https://openalex.org/W3108849448","https://openalex.org/W3167554914","https://openalex.org/W3173270634","https://openalex.org/W3176459575","https://openalex.org/W3215725573","https://openalex.org/W4200578952","https://openalex.org/W4226029051","https://openalex.org/W4226108911","https://openalex.org/W4226426325","https://openalex.org/W4288325606","https://openalex.org/W4313119505","https://openalex.org/W4313139298","https://openalex.org/W4313141028","https://openalex.org/W4316021187","https://openalex.org/W4319999896","https://openalex.org/W4321609196","https://openalex.org/W4383753270","https://openalex.org/W4386076281","https://openalex.org/W4386453530","https://openalex.org/W4388407729","https://openalex.org/W4390874134","https://openalex.org/W6743188669","https://openalex.org/W6779586474","https://openalex.org/W6779990023","https://openalex.org/W6784094891","https://openalex.org/W6798838024","https://openalex.org/W6847419310"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Effective":[0],"player":[1,23,31,64,81,98,102],"detection":[2,65,82],"in":[3,36,123,170],"sports":[4,153,171],"broadcast":[5,38],"videos":[6],"is":[7,176],"crucial":[8],"for":[9,47,137],"detailed":[10],"event":[11],"analysis.":[12,173],"However,":[13],"current":[14],"studies":[15],"heavily":[16],"rely":[17],"on":[18,147],"static":[19],"datasets":[20],"with":[21],"predefined":[22],"categories,":[24],"limiting":[25],"their":[26],"adaptability":[27],"to":[28,92,115,141],"continuously":[29],"emerging":[30],"instances":[32,103],"from":[33,104],"new":[34,105],"categories":[35,99],"real-world":[37,152],"scenarios.":[39],"Additionally,":[40],"directly":[41],"applying":[42],"existing":[43],"incremental":[44,63,149,167],"detectors":[45],"designed":[46],"general":[48],"scenes":[49],"also":[50],"faces":[51],"challenges,":[52],"such":[53],"as":[54],"the":[55,110,124,156],"lack":[56],"of":[57,151,158],"benchmarks":[58],"and":[59,119,127,164],"restricted":[60],"performance,":[61],"rendering":[62],"an":[66,75],"underexplored":[67],"field.":[68],"To":[69],"address":[70],"these":[71,138],"limitations,":[72],"we":[73,108,131],"propose":[74],"innovative":[76],"knowledge":[77,95,143],"distillation":[78,121],"(KD)-based":[79],"class-incremental":[80],"approach.":[83],"Our":[84],"approach":[85],"introduces":[86],"a":[87,133],"refined":[88],"response-based":[89],"KD":[90,135],"strategy":[91],"retain":[93],"acquired":[94],"about":[96],"previous":[97],"when":[100],"learning":[101,168],"categories.":[106],"Specifically,":[107],"utilize":[109],"Gaussian":[111],"mixture":[112],"model":[113],"(GMM)":[114],"dynamically":[116],"segregate":[117],"high-value":[118],"low-value":[120],"regions":[122,140],"candidate":[125],"classification":[126],"regression":[128],"responses.":[129],"Then,":[130],"design":[132],"tailored":[134],"method":[136],"distinct":[139],"transfer":[142],"effectively.":[144],"Extensive":[145],"experiments":[146],"various":[148],"settings":[150],"competitions":[154],"demonstrate":[155],"effectiveness":[157],"our":[159],"approach,":[160],"achieving":[161],"state-of-the-art":[162],"results":[163],"potentially":[165],"advancing":[166],"research":[169],"video":[172],"The":[174],"code":[175],"available":[177],"at":[178],"<uri":[179],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[180],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/beiyan1911/Players-IOD</uri>.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}