{"id":"https://openalex.org/W7164815997","doi":"https://doi.org/10.48550/arxiv.2606.14096","title":"A New Multi-Domain Benchmark for Micro-Action Recognition and Detection","display_name":"A New Multi-Domain Benchmark for Micro-Action Recognition and Detection","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164815997","doi":"https://doi.org/10.48550/arxiv.2606.14096"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14096","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.2606.14096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138667630","display_name":"Yanbin Hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Yanbin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138630434","display_name":"Pengyu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Pengyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138669436","display_name":"Xing Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Xing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030018760","display_name":"Xiaomin Yang","orcid":"https://orcid.org/0000-0002-5593-5108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Xun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102115241","display_name":"Dan Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Dan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138643741","display_name":"Meng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Meng","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/T10667","display_name":"Emotion and Mood Recognition","score":0.5519000291824341,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.5519000291824341,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.40290001034736633,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.004999999888241291,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8375999927520752},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6485999822616577},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5239999890327454},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4722999930381775},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.41609999537467957},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.35420000553131104}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8375999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722599983215332},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6485999822616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6376000046730042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.527999997138977},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5239999890327454},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3449000120162964},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14096","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.2606.14096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14096","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Micro-actions":[0],"are":[1,174],"short-duration,":[2],"low-amplitude":[3],"subtle":[4],"body":[5],"movements":[6],"at":[7,217],"the":[8,68,165],"whole-body":[9],"level":[10],"that":[11,141,172,194],"can":[12],"reveal":[13],"latent":[14],"intentions,":[15],"involuntary":[16],"reactions,":[17],"and":[18,44,54,78,91,113,123,128,136,157,169,180,200,207],"fine-grained":[19,75],"affective":[20],"changes.":[21],"Our":[22],"previous":[23],"MA-52":[24],"benchmark":[25,202],"has":[26],"provided":[27],"an":[28],"important":[29],"foundation":[30],"for":[31,187,203,211],"micro-action":[32,49,76,148,205],"recognition,":[33,118],"but":[34],"it":[35],"remains":[36],"limited":[37],"in":[38,96],"scale,":[39],"scene":[40],"diversity,":[41],"task":[42],"coverage,":[43],"evaluation":[45],"protocols.":[46],"To":[47],"advance":[48],"analysis":[50,206],"toward":[51],"more":[52],"realistic":[53,147,204],"comprehensive":[55,199],"settings,":[56,130],"we":[57,106,119,163],"introduce":[58],"MMA-82,":[59,105],"a":[60,198,208],"large-scale":[61],"multi-domain":[62],"extension":[63],"of":[64],"MA-52.":[65],"MMA-82":[66,195,214],"expands":[67],"label":[69],"space":[70],"from":[71,100],"52":[72],"to":[73,131,184],"82":[74],"categories":[77],"covers":[79],"four":[80],"distinct":[81],"domains,":[82],"including":[83,126],"laboratory":[84],"interviews,":[85,87,90],"street":[86],"psychiatric":[88],"patient":[89],"emotion-rich":[92],"television":[93],"videos,":[94],"resulting":[95],"77,856":[97],"annotated":[98],"instances":[99],"454":[101],"subjects.":[102],"Built":[103],"upon":[104],"establish":[107],"two":[108],"core":[109],"tasks:":[110],"Micro-Action":[111,115],"Recognition":[112],"Multi-label":[114],"Detection.":[116],"For":[117],"further":[120],"define":[121],"in-domain":[122],"cross-domain":[124],"protocols,":[125],"few-shot":[127],"zero-shot":[129],"evaluate":[132],"model":[133],"robustness,":[134],"transferability,":[135],"generalization.":[137],"Extensive":[138],"experiments":[139],"show":[140],"current":[142],"methods":[143],"still":[144],"struggle":[145],"with":[146,177],"understanding,":[149],"especially":[150],"under":[151],"domain":[152],"shift,":[153],"long-tailed":[154],"category":[155],"distributions,":[156],"complex":[158],"temporal":[159],"localization.":[160],"Beyond":[161],"benchmarking,":[162],"investigate":[164],"relationship":[166],"between":[167],"micro-actions":[168,173],"emotion,":[170],"showing":[171],"strongly":[175],"associated":[176],"emotional":[178],"states":[179],"provide":[181],"complementary":[182],"cues":[183],"facial":[185],"micro-expressions":[186],"improved":[188],"emotion":[189],"recognition.":[190],"These":[191],"results":[192],"demonstrate":[193],"serves":[196],"as":[197],"challenging":[201],"valuable":[209],"resource":[210],"human-centered":[212],"AI.":[213],"is":[215],"available":[216],"https://lpynow.github.io/MMA-82-AIM/.":[218]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-16T00:00:00"}