{"id":"https://openalex.org/W3155119115","doi":"https://doi.org/10.1145/3404835.3462927","title":"Improving Video Retrieval by Adaptive Margin","display_name":"Improving Video Retrieval by Adaptive Margin","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3155119115","doi":"https://doi.org/10.1145/3404835.3462927","mag":"3155119115"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3462927","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3462927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101637267","display_name":"Feng He","orcid":"https://orcid.org/0000-0002-0798-1820"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng He","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341321","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-7028-4956"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059003026","display_name":"Zhifan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifan Feng","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900435","display_name":"Wenbin Jiang","orcid":"https://orcid.org/0000-0002-4063-8952"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Jiang","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100891517","display_name":"Yajuan L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajuan L\u00fc","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000312734","display_name":"Yong Zhu","orcid":"https://orcid.org/0000-0002-9806-1965"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001865165","display_name":"Xiao Tan","orcid":"https://orcid.org/0000-0001-9162-8570"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Tan","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101637267"],"corresponding_institution_ids":["https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":1.4533,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83841691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1359","last_page":"1368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","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/T11714","display_name":"Multimodal Machine Learning Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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/margin","display_name":"Margin (machine learning)","score":0.858257532119751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8060386180877686},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5657554268836975},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5571364164352417},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4879121482372284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4815971553325653},{"id":"https://openalex.org/keywords/internet-video","display_name":"Internet video","score":0.45669347047805786},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.44791045784950256},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.38802728056907654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3680118918418884},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3491297662258148},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2090471088886261}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.858257532119751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060386180877686},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5657554268836975},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5571364164352417},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4879121482372284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4815971553325653},{"id":"https://openalex.org/C2779789524","wikidata":"https://www.wikidata.org/wiki/Q16885149","display_name":"Internet video","level":3,"score":0.45669347047805786},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.44791045784950256},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.38802728056907654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3680118918418884},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3491297662258148},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2090471088886261},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3462927","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3462927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1527575280","https://openalex.org/W1957706851","https://openalex.org/W1982795953","https://openalex.org/W2078238240","https://openalex.org/W2106053110","https://openalex.org/W2108598243","https://openalex.org/W2127944900","https://openalex.org/W2194775991","https://openalex.org/W2407145437","https://openalex.org/W2425121537","https://openalex.org/W2467139031","https://openalex.org/W2565656701","https://openalex.org/W2752782242","https://openalex.org/W2753311918","https://openalex.org/W2773456899","https://openalex.org/W2799087793","https://openalex.org/W2808399042","https://openalex.org/W2883429621","https://openalex.org/W2885775891","https://openalex.org/W2896457183","https://openalex.org/W2897439619","https://openalex.org/W2904365664","https://openalex.org/W2949117887","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963916161","https://openalex.org/W2965458216","https://openalex.org/W2970641574","https://openalex.org/W2972073579","https://openalex.org/W2975159687","https://openalex.org/W2975813532","https://openalex.org/W2983128379","https://openalex.org/W2984008963","https://openalex.org/W2987861506","https://openalex.org/W2997457842","https://openalex.org/W3006051380","https://openalex.org/W3035309251","https://openalex.org/W3035356601","https://openalex.org/W3099699208","https://openalex.org/W3100621253","https://openalex.org/W3102887392"],"related_works":["https://openalex.org/W2393699422","https://openalex.org/W2168037874","https://openalex.org/W2387268739","https://openalex.org/W2135728080","https://openalex.org/W2379546782","https://openalex.org/W2534443799","https://openalex.org/W2148968119","https://openalex.org/W2391460410","https://openalex.org/W4323922204","https://openalex.org/W3155119115"],"abstract_inverted_index":{"Video":[0],"retrieval":[1,21,95,165],"is":[2],"becoming":[3],"increasingly":[4],"important":[5],"owing":[6],"to":[7,75,82,114],"the":[8,14,27,30,57,107,116,122,126,130,136,139,142,160,196,205],"rapid":[9],"emergence":[10],"of":[11,32,37,125,132,162],"videos":[12],"on":[13,159,189],"Internet.":[15],"The":[16],"dominant":[17],"paradigm":[18],"for":[19,49],"video":[20,94,164],"learns":[22],"video-text":[23,90],"representations":[24,74],"by":[25,214],"pushing":[26],"distance":[28,108,133,140],"between":[29,59,109,138],"similarity":[31],"positive":[33,110],"pairs":[34,39,47,61,113],"and":[35,85,111,135,141,179,209],"that":[36,56,98,195],"negative":[38,46,60,112],"apart":[40],"from":[41],"a":[42,147,215],"fixed":[43],"margin.":[44,143,217],"However,":[45],"used":[48,192],"training":[50],"are":[51],"sampled":[52],"randomly,":[53],"which":[54,155],"indicates":[55],"semantics":[58],"may":[62],"be":[63,157],"related":[64],"or":[65],"even":[66],"equivalent,":[67],"while":[68],"most":[69,93,163],"methods":[70,96,213],"still":[71],"enforce":[72],"dissimilar":[73],"decrease":[76],"their":[77],"similarity.":[78],"This":[79],"phenomenon":[80],"leads":[81],"inaccurate":[83],"supervision":[84],"poor":[86],"performance":[87,203],"in":[88],"learning":[89],"representations.":[91],"While":[92],"overlook":[97],"phenomenon,":[99],"we":[100,120,145],"propose":[101],"an":[102],"adaptive":[103,127],"margin":[104],"changed":[105],"with":[106,167],"solve":[115],"aforementioned":[117],"issue.":[118],"First,":[119],"design":[121],"calculation":[123],"framework":[124],"margin,":[128],"including":[129],"method":[131,198],"measurement":[134],"function":[137],"Then,":[144],"explore":[146],"novel":[148],"implementation":[149],"called":[150],"\"Cross-Modal":[151],"Generalized":[152],"Self-Distillation\"":[153],"(CMGSD),":[154],"can":[156,199],"built":[158],"top":[161],"models":[166],"few":[168,173],"modifications.":[169],"Notably,":[170],"CMGSD":[171],"adds":[172,180],"computational":[174,182],"overheads":[175],"at":[176,184],"train":[177],"time":[178],"no":[181],"overhead":[183],"test":[185],"time.":[186],"Experimental":[187],"results":[188],"three":[190],"widely":[191],"datasets":[193],"demonstrate":[194],"proposed":[197],"yield":[200],"significantly":[201],"better":[202],"than":[204],"corresponding":[206],"backbone":[207],"model,":[208],"it":[210],"outperforms":[211],"state-of-the-art":[212],"large":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
