{"id":"https://openalex.org/W4386113244","doi":"https://doi.org/10.1109/cvpr52729.2023.00239","title":"Use Your Head: Improving Long-Tail Video Recognition","display_name":"Use Your Head: Improving Long-Tail Video Recognition","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386113244","doi":"https://doi.org/10.1109/cvpr52729.2023.00239"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.00239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012128387","display_name":"Toby Perrett","orcid":"https://orcid.org/0000-0002-1676-3729"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Toby Perrett","raw_affiliation_strings":["University of Bristol,UK","University of Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086150502","display_name":"Saptarshi Sinha","orcid":"https://orcid.org/0000-0002-4100-5727"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Saptarshi Sinha","raw_affiliation_strings":["University of Bristol,UK","University of Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052504255","display_name":"Tilo Burghardt","orcid":"https://orcid.org/0000-0002-8506-012X"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tilo Burghardt","raw_affiliation_strings":["University of Bristol,UK","University of Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007937949","display_name":"Majid Mirmehdi","orcid":"https://orcid.org/0000-0002-6478-1403"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Majid Mirmehdi","raw_affiliation_strings":["University of Bristol,UK","University of Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003103666","display_name":"Dima Damen","orcid":"https://orcid.org/0000-0001-8804-6238"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dima Damen","raw_affiliation_strings":["University of Bristol,UK","University of Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2415","last_page":"2425"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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/overfitting","display_name":"Overfitting","score":0.834399402141571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7996538877487183},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7605092525482178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6422764658927917},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5127721428871155},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4785079061985016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4578794836997986},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3672647476196289},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.0709945559501648},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.06308361887931824}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.834399402141571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996538877487183},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7605092525482178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6422764658927917},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5127721428871155},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4785079061985016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4578794836997986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3672647476196289},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0709945559501648},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.06308361887931824},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.00239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G2656745747","display_name":null,"funder_award_id":"EP/T004991/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7396137307","display_name":null,"funder_award_id":"EP/R005273/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8161891803","display_name":null,"funder_award_id":"EP/T028572/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8244026347","display_name":null,"funder_award_id":"EP/T004991/1,EP/R005273/1,EP/T028572/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":100,"referenced_works":["https://openalex.org/W2019097223","https://openalex.org/W2108598243","https://openalex.org/W2138899136","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2524365899","https://openalex.org/W2625366777","https://openalex.org/W2765407302","https://openalex.org/W2767106145","https://openalex.org/W2787035179","https://openalex.org/W2797977484","https://openalex.org/W2894873912","https://openalex.org/W2947380870","https://openalex.org/W2948672349","https://openalex.org/W2962933664","https://openalex.org/W2963341924","https://openalex.org/W2963351448","https://openalex.org/W2963524571","https://openalex.org/W2963689837","https://openalex.org/W2963691377","https://openalex.org/W2970941190","https://openalex.org/W2974470310","https://openalex.org/W2983166023","https://openalex.org/W2995197345","https://openalex.org/W2995253937","https://openalex.org/W3013774879","https://openalex.org/W3021778166","https://openalex.org/W3034369739","https://openalex.org/W3034711780","https://openalex.org/W3035054804","https://openalex.org/W3035374961","https://openalex.org/W3035552357","https://openalex.org/W3035730922","https://openalex.org/W3037916678","https://openalex.org/W3041485444","https://openalex.org/W3042496707","https://openalex.org/W3044057088","https://openalex.org/W3095374178","https://openalex.org/W3096688134","https://openalex.org/W3101812930","https://openalex.org/W3118608800","https://openalex.org/W3122640483","https://openalex.org/W3122855191","https://openalex.org/W3124568760","https://openalex.org/W3125815192","https://openalex.org/W3126272270","https://openalex.org/W3166596953","https://openalex.org/W3171998492","https://openalex.org/W3172908893","https://openalex.org/W3172971995","https://openalex.org/W3173271747","https://openalex.org/W3176474016","https://openalex.org/W3177230409","https://openalex.org/W3177357839","https://openalex.org/W3186180121","https://openalex.org/W3202087803","https://openalex.org/W3202232857","https://openalex.org/W3215720729","https://openalex.org/W4214640945","https://openalex.org/W4214718285","https://openalex.org/W4214951466","https://openalex.org/W4225323055","https://openalex.org/W4226197276","https://openalex.org/W4283205862","https://openalex.org/W4287122452","https://openalex.org/W4292241799","https://openalex.org/W4292347999","https://openalex.org/W4300860215","https://openalex.org/W4312244159","https://openalex.org/W4312259618","https://openalex.org/W4312344855","https://openalex.org/W4312577413","https://openalex.org/W4312772544","https://openalex.org/W4312866014","https://openalex.org/W4312877479","https://openalex.org/W4312885504","https://openalex.org/W4312986563","https://openalex.org/W4313046672","https://openalex.org/W4313066313","https://openalex.org/W6680728750","https://openalex.org/W6717697761","https://openalex.org/W6745136726","https://openalex.org/W6748284727","https://openalex.org/W6760378562","https://openalex.org/W6763430915","https://openalex.org/W6764733053","https://openalex.org/W6766578407","https://openalex.org/W6768920361","https://openalex.org/W6780497428","https://openalex.org/W6780677595","https://openalex.org/W6780957418","https://openalex.org/W6780975210","https://openalex.org/W6781310682","https://openalex.org/W6784031320","https://openalex.org/W6784097300","https://openalex.org/W6784184991","https://openalex.org/W6789158709","https://openalex.org/W6799536747","https://openalex.org/W6810334672","https://openalex.org/W6839328659"],"related_works":["https://openalex.org/W3099765033","https://openalex.org/W2989932438","https://openalex.org/W1891287906","https://openalex.org/W4320025290","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2767651786","https://openalex.org/W2742991909"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"investigation":[4],"into":[5],"long-tail":[6,18,49],"video":[7,14,22,44],"recognition.":[8],"We":[9,60],"demonstrate":[10],"that,":[11],"unlike":[12],"naturally-collected":[13],"datasets":[15],"and":[16,58,106,110,113],"existing":[17],"image":[19],"benchmarks,":[20],"current":[21],"benchmarks":[23,45],"fall":[24],"short":[25],"on":[26,104],"multiple":[27],"long-tailed":[28],"properties.":[29],"Most":[30],"critically,":[31],"they":[32],"lack":[33],"few-shot":[34,75],"classes":[35,76],"in":[36],"their":[37],"tails.":[38],"In":[39],"response,":[40],"we":[41],"propose":[42,62],"new":[43],"that":[46],"better":[47],"assess":[48],"recognition,":[50],"by":[51,77],"sampling":[52],"subsets":[53],"from":[54,74,85],"two":[55],"datasets:":[56],"SSv2":[57],"VideoLT.":[59],"then":[61,89],"a":[63],"method,":[64],"Long-Tail":[65],"Mixed":[66],"Reconstruction":[67],"(LMR),":[68],"which":[69],"reduces":[70],"overfitting":[71],"to":[72,93],"instances":[73],"reconstructing":[78],"them":[79],"as":[80],"weighted":[81],"combinations":[82],"of":[83],"samples":[84],"head":[86],"classes.":[87],"LMR":[88],"employs":[90],"label":[91],"mixing":[92],"learn":[94],"robust":[95],"decision":[96],"boundaries.":[97],"It":[98],"achieves":[99],"state-of-the-art":[100],"average":[101],"class":[102],"accuracy":[103],"EPIC-KITCHENS":[105],"the":[107],"proposed":[108],"SSv2-LT":[109],"VideoLT-LT.":[111],"Benchmarks":[112],"code":[114],"at:":[115],"github.com/tobyperrett/lmr":[116]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}