{"id":"https://openalex.org/W4403791470","doi":"https://doi.org/10.1145/3664647.3689174","title":"Learning Backward Compatible Representations","display_name":"Learning Backward Compatible Representations","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791470","doi":"https://doi.org/10.1145/3664647.3689174"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3689174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3689174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5036222429","display_name":"Niccol\u00f2 Biondi","orcid":"https://orcid.org/0000-0003-1153-1651"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Niccol\u00f2 Biondi","raw_affiliation_strings":["Media Integration and Communication Center (MICC), University of Florence, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Media Integration and Communication Center (MICC), University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010554257","display_name":"Simone Ricci","orcid":"https://orcid.org/0000-0001-9838-6076"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Ricci","raw_affiliation_strings":["Media Integration and Communication Center (MICC), University of Florence, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Media Integration and Communication Center (MICC), University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045100798","display_name":"Federico Pernici","orcid":"https://orcid.org/0000-0001-7036-6655"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Pernici","raw_affiliation_strings":["Media Integration and Communication Center (MICC), University of Florence, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Media Integration and Communication Center (MICC), University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081506611","display_name":"Alberto Del Bimbo","orcid":"https://orcid.org/0000-0002-1052-8322"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Del Bimbo","raw_affiliation_strings":["Media Integration and Communication Center (MICC), Universita di Firenze, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Media Integration and Communication Center (MICC), Universita di Firenze, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036222429"],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16795848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11287","last_page":"11288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.897599995136261,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.897599995136261,"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/T10028","display_name":"Topic Modeling","score":0.8967999815940857,"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/T10320","display_name":"Neural Networks and Applications","score":0.873199999332428,"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/computer-science","display_name":"Computer science","score":0.6239876747131348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34999972581863403},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33469903469085693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6239876747131348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34999972581863403},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33469903469085693}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3664647.3689174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3689174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:flore.unifi.it:2158/1451927","is_oa":false,"landing_page_url":"https://hdl.handle.net/2158/1451927","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0],"today's":[1],"multimedia-rich":[2],"environment,":[3],"the":[4,62,67,114,132],"rapid":[5],"growth":[6],"of":[7,69,86,134],"data":[8,27,49,103],"poses":[9],"significant":[10],"challenges":[11],"for":[12,19,53,73],"developing":[13],"efficient":[14],"multi-modal":[15],"retrieval":[16,33,124],"systems":[17,34],"essential":[18],"retrieving":[20],"text,":[21],"images,":[22],"audio,":[23],"and":[24,31,56,116,127,139,141,153],"video.":[25],"As":[26],"expands,":[28],"newer,":[29],"scalable,":[30],"high-performance":[32],"are":[35,147],"increasingly":[36,149],"necessary.":[37],"Embedding-based":[38],"deep":[39],"neural":[40],"networks":[41],"(DNNs)":[42],"have":[43],"become":[44],"key":[45],"solutions,":[46],"transforming":[47],"high-dimensional":[48],"into":[50],"lower-dimensional":[51],"embeddings":[52],"easy":[54],"comparison":[55],"retrieval.":[57,155],"However,":[58],"updating":[59],"DNNs":[60],"changes":[61],"internal":[63],"feature":[64,71],"representations,":[65,121,136],"necessitating":[66],"extraction":[68],"new":[70,95],"vectors":[72],"all":[74],"gallery":[75,82,102],"data,":[76],"which":[77],"is":[78],"costly,":[79],"especially":[80],"with":[81,100,113],"sets":[83],"comprising":[84],"billions":[85],"data.":[87],"Learning":[88],"backward-compatible":[89,120],"representations":[90],"addresses":[91],"this":[92],"by":[93],"allowing":[94],"representation":[96],"to":[97,110,118,151],"be":[98],"matched":[99],"old":[101],"without":[104],"recalculating":[105],"features.":[106],"This":[107],"tutorial":[108],"aims":[109],"equip":[111],"participants":[112],"knowledge":[115],"tools":[117],"apply":[119],"enhancing":[122],"multimedia":[123,152],"systems'":[125],"efficiency":[126],"scalability.":[128],"Participants":[129],"will":[130],"learn":[131],"importance":[133],"compatible":[135],"basic":[137],"methods":[138],"techniques,":[140],"explore":[142],"challenging":[143],"open":[144],"questions":[145],"that":[146],"becoming":[148],"relevant":[150],"cross-modal":[154]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}