{"id":"https://openalex.org/W3069154721","doi":"https://doi.org/10.1145/3394171.3414064","title":"Query Twice","display_name":"Query Twice","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3069154721","doi":"https://doi.org/10.1145/3394171.3414064","mag":"3069154721"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3414064","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3414064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.08360","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Junyan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junyan Wang","raw_affiliation_strings":["Meituan-Dianping Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan-Dianping Group, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Bai","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Long","orcid":null},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Long","raw_affiliation_strings":["Durham University, Durham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham University, Durham, United Kingdom","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bingzhang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bingzhang Hu","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhenhua Chai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenhua Chai","raw_affiliation_strings":["Meituan-Dianping Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan-Dianping Group, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu Guan","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaolin Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolin Wei","raw_affiliation_strings":["Meituan-Dianping Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan-Dianping Group, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.598,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.7508688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4023","last_page":"4031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.991599977016449,"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/softmax-function","display_name":"Softmax function","score":0.9506000280380249},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8395000100135803},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7153000235557556},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6384000182151794},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.475600004196167},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4142000079154968},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.37720000743865967},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.33709999918937683}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9506000280380249},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8395000100135803},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7153000235557556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804999709129333},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6384000182151794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5831000208854675},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.475600004196167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46239998936653137},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.33709999918937683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3244999945163727},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.313400000333786},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3394171.3414064","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3414064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.08360","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.08360","pdf_url":"https://arxiv.org/pdf/2008.08360","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.08360","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.08360","pdf_url":"https://arxiv.org/pdf/2008.08360","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3000430873","display_name":null,"funder_award_id":"MR/S003916/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G3688699135","display_name":null,"funder_award_id":"EP/M020576/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1904325426","https://openalex.org/W1979354511","https://openalex.org/W1987366351","https://openalex.org/W2014464472","https://openalex.org/W2097117768","https://openalex.org/W2120645068","https://openalex.org/W2138779671","https://openalex.org/W2139009685","https://openalex.org/W2194775991","https://openalex.org/W2519882289","https://openalex.org/W2529272619","https://openalex.org/W2737677090","https://openalex.org/W2781922022","https://openalex.org/W2798970487","https://openalex.org/W2895758197","https://openalex.org/W2955874753","https://openalex.org/W2962914678","https://openalex.org/W2963026017","https://openalex.org/W2963227409","https://openalex.org/W2963351113","https://openalex.org/W2963863119","https://openalex.org/W2963919999","https://openalex.org/W2967038491","https://openalex.org/W2967219836","https://openalex.org/W2990503944"],"related_works":[],"abstract_inverted_index":{"Video":[0],"summarization":[1,66],"aims":[2],"to":[3,7,98,114,118],"select":[4],"representative":[5],"frames":[6],"retain":[8],"high-level":[9],"information,":[10,38],"which":[11,39],"is":[12,40,111],"usually":[13],"solved":[14],"by":[15,85],"predicting":[16],"the":[17,43,69,74,82,93,99,126,148,168],"segment-wise":[18],"importance":[19],"score":[20],"via":[21],"a":[22,52,104],"softmax":[23,26,70],"function.":[24],"However,":[25],"function":[27],"suffers":[28],"in":[29,96,142],"retaining":[30],"high-rank":[31],"representations":[32],"for":[33,64],"complex":[34],"visual":[35,131],"or":[36],"sequential":[37,133],"known":[41],"as":[42],"Softmax":[44],"Bottleneck":[45],"problem.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"novel":[53,105],"framework":[54],"named":[55],"Dual":[56],"Mixture":[57,75],"Attention":[58,77],"(DMASum)":[59],"model":[60,83],"with":[61,121],"Meta":[62,108],"Learning":[63,109],"video":[65],"that":[67,90,135],"tackles":[68],"bottleneck":[71],"problem,":[72],"where":[73],"of":[76],"layer":[78],"(MoA)":[79],"effectively":[80],"increases":[81],"capacity":[84],"employing":[86],"twice":[87],"self-query":[88],"attention":[89,134,141],"can":[91],"capture":[92],"second-order":[94],"changes":[95],"addition":[97],"initial":[100],"query-key":[101],"attention,":[102],"and":[103,132,139,157,161],"Single":[106],"Frame":[107],"rule":[110],"then":[112],"introduced":[113],"achieve":[115],"more":[116],"generalization":[117],"small":[119],"datasets":[120],"limited":[122],"training":[123],"sources.":[124],"Furthermore,":[125],"DMASum":[127],"significantly":[128],"exploits":[129],"both":[130],"connects":[136],"local":[137],"key-frame":[138],"global":[140],"an":[143],"accumulative":[144],"way.":[145],"We":[146],"adopt":[147],"new":[149],"evaluation":[150],"protocol":[151],"on":[152],"two":[153],"public":[154],"datasets,":[155],"SumMe,":[156],"TVSum.":[158],"Both":[159],"qualitative":[160],"quantitative":[162],"experiments":[163],"manifest":[164],"significant":[165],"improvements":[166],"over":[167],"state-of-the-art":[169],"methods.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2020-08-24T00:00:00"}