{"id":"https://openalex.org/W7165743908","doi":"https://doi.org/10.48550/arxiv.2606.24422","title":"EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding","display_name":"EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165743908","doi":"https://doi.org/10.48550/arxiv.2606.24422"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.24422","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24422","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.24422","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114092951","display_name":"Yijia Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Yijia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139248373","display_name":"Jinzhao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jinzhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139298039","display_name":"Yichi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yichi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120324483","display_name":"Jiacheng Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua, Jiacheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139262577","display_name":"Yin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5035887801","display_name":"M Y Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Miao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8403000235557556,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8403000235557556,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.04410000145435333,"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":0.03909999877214432,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8514999747276306},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6114000082015991},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5095999836921692},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.36340001225471497},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.32330000400543213},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.2892000079154968}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8514999747276306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964000105857849},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6114000082015991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586000084877014},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5095999836921692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4702000021934509},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32249999046325684},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2915000021457672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.2892000079154968},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25119999051094055},{"id":"https://openalex.org/C2775907273","wikidata":"https://www.wikidata.org/wiki/Q7805281","display_name":"Time constraint","level":2,"score":0.25099998712539673},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.24422","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24422","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.24422","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24422","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6639798283576965}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"EgoSAT,":[2],"the":[3,17,88,96],"first":[4],"comprehensive":[5],"benchmark":[6,25],"for":[7,152],"egocentric":[8,114],"video":[9,31],"reasoning":[10,126],"in":[11],"streaming":[12,27,52,153],"settings,":[13],"designed":[14,123],"to":[15,62,85,124,186,191],"evaluate":[16,135],"capabilities":[18],"of":[19,113,139,149,164],"modern":[20],"vision-language":[21],"models":[22,36,84,169],"(VLMs).":[23],"The":[24],"targets":[26],"interaction":[28,154],"understanding,":[29,71],"where":[30],"frames":[32,102],"arrive":[33],"sequentially":[34],"and":[35,72,91,116,142,159,175],"must":[37],"continuously":[38],"interpret":[39],"evolving":[40],"visual":[41],"context.":[42],"EgoSAT":[43,105],"unifies":[44],"several":[45],"previously":[46,100],"distinct":[47],"tasks":[48],"within":[49],"a":[50,136,146],"single":[51],"framework.":[53],"In":[54],"this":[55,132],"formulation,":[56],"queries":[57,65,73],"about":[58,66,74,87],"completed":[59],"events":[60],"correspond":[61],"retrospective":[63,176],"reasoning,":[64],"ongoing":[67],"activities":[68],"require":[69],"online":[70],"future":[75,92],"actions":[76],"involve":[77],"prospective":[78,174],"anticipation.":[79],"This":[80],"unified":[81],"setting":[82],"requires":[83],"reason":[86],"past,":[89],"present,":[90],"while":[93],"operating":[94],"under":[95],"constraint":[97],"that":[98],"only":[99,171],"observed":[101],"are":[103],"available.":[104],"contains":[106],"1,997":[107],"unique":[108],"videos":[109],"spanning":[110],"165":[111],"hours":[112],"footage":[115],"around":[117],"4,800":[118],"high-quality":[119],"question-answer":[120],"pairs,":[121],"carefully":[122],"probe":[125],"across":[127],"varying":[128],"temporal":[129],"contexts.":[130],"Using":[131],"benchmark,":[133],"we":[134,166],"diverse":[137],"set":[138],"both":[140],"open-weight":[141],"closed-weight":[143],"VLMs,":[144],"providing":[145],"systematic":[147],"assessment":[148],"their":[150],"ability":[151],"understanding.":[155],"By":[156],"distinguishing":[157],"answerability":[158],"conducting":[160],"diagnostics":[161],"on":[162],"confidence":[163,183],"models,":[165],"find":[167],"existing":[168],"not":[170],"struggle":[172],"with":[173],"modeling,":[177],"but":[178],"also":[179],"exhibit":[180],"severe":[181],"mis-calibration:":[182],"often":[184],"fails":[185],"track":[187],"inherent":[188],"answerability,":[189],"leading":[190],"dangerous":[192],"\"confidently":[193],"wrong\"":[194],"behaviors.":[195],"Project":[196],"page:":[197],"https://leiyj23.github.io/EgoSAT/":[198]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}