{"id":"https://openalex.org/W7131077887","doi":"https://doi.org/10.1109/iccvw69036.2025.00282","title":"EgoOops: A Dataset for Mistake Action Detection from Egocentric Videos referring to Procedural Texts","display_name":"EgoOops: A Dataset for Mistake Action Detection from Egocentric Videos referring to Procedural Texts","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7131077887","doi":"https://doi.org/10.1109/iccvw69036.2025.00282"},"language":null,"primary_location":{"id":"doi:10.1109/iccvw69036.2025.00282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","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/A5049350918","display_name":"Yuto Haneji","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuto Haneji","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126606147","display_name":"Taichi Nishimura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taichi Nishimura","raw_affiliation_strings":["Sony Interactive Entertainment"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Interactive Entertainment","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000531397","display_name":"Hirotaka Kameko","orcid":"https://orcid.org/0000-0001-9844-6198"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotaka Kameko","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Keisuke Shirai","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Shirai","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103198688","display_name":"Tomoya Yoshida","orcid":"https://orcid.org/0000-0002-9078-0252"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoya Yoshida","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Keiya Kajimura","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiya Kajimura","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Koki Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koki Yamamoto","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126614925","display_name":"Taiyu Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taiyu Cui","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032096617","display_name":"T Nishimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Nishimoto","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101173515","display_name":"Shinsuke Mori","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinsuke Mori","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65343719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2711","last_page":"2721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9013000130653381,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9013000130653381,"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/T11439","display_name":"Video Analysis and Summarization","score":0.02850000001490116,"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/T11431","display_name":"Action Observation and Synchronization","score":0.01769999973475933,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mistake","display_name":"Mistake","score":0.987500011920929},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6814000010490417},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6218000054359436},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.600600004196167}],"concepts":[{"id":"https://openalex.org/C2777179996","wikidata":"https://www.wikidata.org/wiki/Q911222","display_name":"Mistake","level":2,"score":0.987500011920929},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6814000010490417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6654000282287598},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6218000054359436},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.600600004196167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5464000105857849},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3569999933242798},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29980000853538513},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.29820001125335693},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw69036.2025.00282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5815263390541077}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2053154970","https://openalex.org/W2296613712","https://openalex.org/W2799067027","https://openalex.org/W2895299763","https://openalex.org/W2915977493","https://openalex.org/W2957775769","https://openalex.org/W2963616706","https://openalex.org/W2963691377","https://openalex.org/W2964094654","https://openalex.org/W2984008963","https://openalex.org/W2990152177","https://openalex.org/W3021013305","https://openalex.org/W3096383329","https://openalex.org/W3177173029","https://openalex.org/W3205786327","https://openalex.org/W3209044699","https://openalex.org/W4312397346","https://openalex.org/W4312422429","https://openalex.org/W4312508181","https://openalex.org/W4313071313","https://openalex.org/W4382073747","https://openalex.org/W4386075592","https://openalex.org/W4390871800","https://openalex.org/W4390873035","https://openalex.org/W4390873954","https://openalex.org/W4394625525","https://openalex.org/W4402733587","https://openalex.org/W4402753918","https://openalex.org/W4413144699"],"related_works":[],"abstract_inverted_index":{"Mistake":[0],"action":[1],"detection":[2,107],"is":[3,128,134],"crucial":[4],"for":[5,59,63,100,130],"developing":[6],"intelligent":[7],"archives":[8],"that":[9,124],"detect":[10],"workers'":[11],"errors":[12],"and":[13,98,112],"provide":[14],"feedback.":[15],"Existing":[16],"studies":[17],"have":[18],"focused":[19],"on":[20],"visually":[21],"apparent":[22],"mistakes":[23],"in":[24,28,35],"free-style":[25],"activities,":[26,37],"resulting":[27],"video-only":[29],"approaches":[30],"to":[31,48,116],"mistake":[32,53,96,106,113,131],"detection.":[33,132],"However,":[34],"text-following":[36],"models":[38],"cannot":[39],"determine":[40],"the":[41,49,72,118],"correctness":[42],"of":[43,92],"some":[44],"actions":[45],"without":[46],"referring":[47],"texts.":[50,119],"Additionally,":[51],"current":[52],"datasets":[54],"rarely":[55],"use":[56],"procedural":[57,83,126],"texts":[58,84,127],"video":[60],"recording":[61],"except":[62],"cooking.":[64],"To":[65],"fill":[66],"these":[67],"gaps,":[68],"this":[69],"paper":[70],"proposes":[71],"EgoOops":[73],"dataset,":[74],"where":[75],"egocentric":[76],"videos":[77],"record":[78],"erroneous":[79],"activities":[80],"when":[81],"following":[82],"across":[85],"diverse":[86],"domains.":[87],"It":[88],"features":[89],"three":[90],"types":[91],"annotations:":[93],"video-text":[94,110],"alignment,":[95],"labels,":[97],"descriptions":[99],"mistakes.":[101],"We":[102],"also":[103],"propose":[104],"a":[105],"approach,":[108],"combining":[109],"alignment":[111],"label":[114],"classification":[115],"leverage":[117],"Our":[120],"experimental":[121],"results":[122],"show":[123],"incorporating":[125],"essential":[129],"Data":[133],"available":[135],"through":[136],"https://y-haneji.github.io/EgoOops-project-page/.":[137]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-24T00:00:00"}
