{"id":"https://openalex.org/W4416631841","doi":"https://doi.org/10.48550/arxiv.2511.13039","title":"MGCA-Net: Multi-Grained Category-Aware Network for Open-Vocabulary Temporal Action Localization","display_name":"MGCA-Net: Multi-Grained Category-Aware Network for Open-Vocabulary Temporal Action Localization","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4416631841","doi":"https://doi.org/10.48550/arxiv.2511.13039"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2511.13039","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.13039","pdf_url":"https://arxiv.org/pdf/2511.13039","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.13039","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043133170","display_name":"Zhenying Fang","orcid":"https://orcid.org/0009-0004-2002-7267"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fang, Zhenying","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070912488","display_name":"Richang Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Richang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043133170"],"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9628000259399414,"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":0.9628000259399414,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.017100000753998756,"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":0.0032999999821186066,"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/snippet","display_name":"Snippet","score":0.8395000100135803},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.7498999834060669},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5690000057220459},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5508999824523926},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.38519999384880066}],"concepts":[{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.8395000100135803},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.7498999834060669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234999895095825},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5690000057220459},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5508999824523926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5483999848365784},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2511.13039","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.13039","pdf_url":"https://arxiv.org/pdf/2511.13039","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2511.13039","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.13039","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.13039","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.13039","pdf_url":"https://arxiv.org/pdf/2511.13039","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"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":{"Open-Vocabulary":[0],"Temporal":[1,203],"Action":[2,204],"Localization":[3,205],"(OV-TAL)":[4],"aims":[5],"to":[6,94,144],"recognize":[7,29],"and":[8,44,69,162,184],"localize":[9],"instances":[10],"of":[11,41,108,167],"any":[12],"desired":[13],"action":[14,30,46,63,78,82,85,96,110,114,121,132,142],"categories":[15,31,115,122,150],"in":[16],"videos":[17],"without":[18],"explicitly":[19],"curating":[20],"training":[21],"data":[22],"for":[23,159],"all":[24],"categories.":[25,47],"Existing":[26],"methods":[27],"mostly":[28],"at":[32,116,134,151],"a":[33,54,60,66,70],"single":[34],"granularity,":[35],"which":[36,129],"degrades":[37],"the":[38,74,84,89,99,102,106,117,126,135,148,152,163,182,201],"recognition":[39],"accuracy":[40],"both":[42],"base":[43,113,168],"novel":[45,160],"To":[48],"address":[49],"these":[50,81],"issues,":[51],"we":[52],"propose":[53],"Multi-Grained":[55],"Category-Aware":[56],"Network":[57],"(MGCA-Net)":[58],"comprising":[59],"localizer,":[61],"an":[62,95],"presence":[64,86,133],"predictor,":[65],"conventional":[67,103,164],"classifier,":[68,128],"coarse-to-fine":[71,127,156],"classifier.":[72],"Specifically,":[73],"localizer":[75],"localizes":[76],"category-agnostic":[77],"proposals.":[79],"For":[80],"proposals,":[83],"predictor":[87],"estimates":[88],"probability":[90,107],"that":[91,188],"they":[92],"belong":[93],"instance.":[97],"At":[98],"same":[100],"time,":[101],"classifier":[104],"predicts":[105],"each":[109,141],"proposal":[111,143,153],"over":[112],"snippet":[118],"granularity.":[119,137,154],"Novel":[120],"are":[123],"recognized":[124],"by":[125],"first":[130],"identifies":[131],"video":[136],"Finally,":[138],"it":[139],"assigns":[140],"one":[145],"category":[146,157,171],"from":[147],"coarse":[149],"Through":[155],"awareness":[158,166,172],"actions":[161],"classifier's":[165],"actions,":[169],"multi-grained":[170],"is":[173],"achieved,":[174],"effectively":[175],"enhancing":[176],"localization":[177],"performance.":[178,193],"Comprehensive":[179],"evaluations":[180],"on":[181],"THUMOS'14":[183],"ActivityNet-1.3":[185],"benchmarks":[186],"demonstrate":[187],"our":[189,195],"method":[190],"achieves":[191,197],"state-of-the-art":[192,198],"Furthermore,":[194],"MGCA-Net":[196],"results":[199],"under":[200],"Zero-Shot":[202],"setting.":[206]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-19T00:00:00"}
