{"id":"https://openalex.org/W4285604377","doi":"https://doi.org/10.24963/ijcai.2022/174","title":"Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification","display_name":"Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285604377","doi":"https://doi.org/10.24963/ijcai.2022/174"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/174","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/174","pdf_url":"https://www.ijcai.org/proceedings/2022/0174.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0174.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101181241","display_name":"Wenyang Luo","orcid":"https://orcid.org/0009-0007-7228-868X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyang Luo","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","School of Artificial Intelligence, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068621276","display_name":"Yufan Liu","orcid":"https://orcid.org/0000-0002-8426-9335"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufan Liu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","School of Artificial Intelligence, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109346446","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-5888-6735"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","PeopleAI, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"PeopleAI, Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","School of Artificial Intelligence, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology","institution_ids":["https://openalex.org/I4210097554"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103270427","display_name":"Yanan Miao","orcid":"https://orcid.org/0000-0002-0986-0299"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Miao","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team/Coordination Center of China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team/Coordination Center of China","institution_ids":["https://openalex.org/I4210087772"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067941891","display_name":"Yangxi Li","orcid":"https://orcid.org/0000-0002-1401-4054"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangxi Li","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team/Coordination Center of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team/Coordination Center of China","institution_ids":["https://openalex.org/I4210087772"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1247","last_page":"1253"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9980999827384949,"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":0.9945999979972839,"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/forgetting","display_name":"Forgetting","score":0.8248847126960754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103615045547485},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7085506319999695},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6853188276290894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6764230728149414},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6570903062820435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5468891859054565},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41980335116386414},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.41337770223617554}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8248847126960754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103615045547485},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7085506319999695},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6853188276290894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6764230728149414},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6570903062820435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5468891859054565},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41980335116386414},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41337770223617554},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/174","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/174","pdf_url":"https://www.ijcai.org/proceedings/2022/0174.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/174","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/174","pdf_url":"https://www.ijcai.org/proceedings/2022/0174.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285604377.pdf","grobid_xml":"https://content.openalex.org/works/W4285604377.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2507009361","https://openalex.org/W2604763608","https://openalex.org/W2625366777","https://openalex.org/W2894873912","https://openalex.org/W2963341924","https://openalex.org/W2963370182","https://openalex.org/W2963524571","https://openalex.org/W2963901365","https://openalex.org/W2964105864","https://openalex.org/W2974470310","https://openalex.org/W2990503944","https://openalex.org/W3021778166","https://openalex.org/W3035374961","https://openalex.org/W3092651603","https://openalex.org/W3093455342","https://openalex.org/W3095374178","https://openalex.org/W3173271747","https://openalex.org/W3209038819","https://openalex.org/W4234117503","https://openalex.org/W4237044863","https://openalex.org/W4300860215","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2948262272","https://openalex.org/W4293211451","https://openalex.org/W4298388782","https://openalex.org/W2950066684","https://openalex.org/W4312831135","https://openalex.org/W3082895349","https://openalex.org/W2960184797","https://openalex.org/W4288853838","https://openalex.org/W4285827401","https://openalex.org/W4317565044"],"abstract_inverted_index":{"Compared":[0],"with":[1],"image":[2],"few-shot":[3,9,89],"learning,":[4],"most":[5],"of":[6,60,76,106,121,194],"the":[7,24,41,44,49,58,77,95,104,143,155,175,180,192],"existing":[8],"video":[10,90,113],"classification":[11],"methods":[12],"perform":[13],"worse":[14],"on":[15,197],"feature":[16,138],"matching,":[17],"because":[18],"they":[19],"fail":[20],"to":[21,132,153,162,172],"sufficiently":[22,173],"exploit":[23,174],"temporal":[25,65,100,176],"information":[26,177],"and":[27,63,67,81,102,150,182],"relation.":[28],"Specifically,":[29],"frames":[30,52],"are":[31,170],"usually":[32],"evenly":[33],"sampled,":[34],"which":[35,55],"may":[36],"miss":[37],"important":[38],"frames.":[39],"On":[40],"other":[42],"hand,":[43],"heuristic":[45],"model":[46],"simply":[47],"encodes":[48],"equally":[50],"treated":[51],"in":[53,57],"sequence,":[54],"results":[56,190],"lack":[59],"both":[61],"long-term":[62,151],"short-term":[64,148],"modeling":[66],"interaction.":[68],"To":[69],"alleviate":[70],"these":[71],"limitations,":[72],"we":[73,141],"take":[74],"advantage":[75],"compressed":[78,128,165],"domain":[79,129,166],"knowledge":[80,130],"propose":[82],"a":[83,112,119,134],"long-short":[84,144],"term":[85,145,158],"Cross-Transformer":[86],"(LSTC)":[87],"for":[88],"classification.":[91],"For":[92,109],"short":[93],"terms,":[94,111],"motion":[96],"vector":[97],"(MV)":[98],"contains":[99],"cues":[101],"reflects":[103],"importance":[105],"each":[107],"frame.":[108],"long":[110],"can":[114,184],"be":[115,185],"natively":[116],"divided":[117],"into":[118],"sequence":[120],"GOPs":[122],"(Group":[123],"Of":[124],"Picture).":[125],"Using":[126],"this":[127],"helps":[131],"obtain":[133],"more":[135],"accurate":[136],"spatial-temporal":[137],"space.":[139],"Consequently,":[140],"design":[142],"selection":[146,159],"module,":[147,149],"module":[152],"comprise":[154],"LSTC.":[156],"Long-short":[157],"is":[160],"performed":[161],"select":[163],"informative":[164],"data.":[167],"Long/short-term":[168],"modules":[169],"utilized":[171],"so":[178],"that":[179],"query":[181],"support":[183],"well-matched":[186],"by":[187],"cross-attention.":[188],"Experimental":[189],"show":[191],"superiority":[193],"our":[195],"method":[196],"various":[198],"datasets.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
