{"id":"https://openalex.org/W4399534608","doi":"https://doi.org/10.1145/3643488.3660303","title":"Improving Cross-Modal Recipe Embeddings with Cross Decoder","display_name":"Improving Cross-Modal Recipe Embeddings with Cross Decoder","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399534608","doi":"https://doi.org/10.1145/3643488.3660303"},"language":"en","primary_location":{"id":"doi:10.1145/3643488.3660303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643488.3660303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643488.3660303","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fifth Workshop on Intelligent Cross-Data Analysis and Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3643488.3660303","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054803083","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-2103-6825"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jing Yang","raw_affiliation_strings":["The University of Electro-Communications, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037869164","display_name":"Junwen Chen","orcid":"https://orcid.org/0000-0003-1355-4128"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junwen Chen","raw_affiliation_strings":["The University of Electro-Communications, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054600485","display_name":"\u202aKeiji Yanai\u202c","orcid":"https://orcid.org/0000-0002-0431-183X"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiji Yanai","raw_affiliation_strings":["The University of Electro-Communications, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054803083"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07469788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9973999857902527,"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/recipe","display_name":"Recipe","score":0.789573609828949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7815448045730591},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7261799573898315},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6777665019035339},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6316602230072021},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5685126781463623},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5409935116767883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42350855469703674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3402325510978699},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08671048283576965}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.789573609828949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7815448045730591},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7261799573898315},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6777665019035339},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6316602230072021},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5685126781463623},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5409935116767883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42350855469703674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3402325510978699},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08671048283576965},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3643488.3660303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643488.3660303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643488.3660303","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fifth Workshop on Intelligent Cross-Data Analysis and Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3643488.3660303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643488.3660303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643488.3660303","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fifth Workshop on Intelligent Cross-Data Analysis and Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399534608.pdf"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2737041163","https://openalex.org/W2948037078","https://openalex.org/W2963997278","https://openalex.org/W3137684688","https://openalex.org/W3206660842","https://openalex.org/W4292787334","https://openalex.org/W4361858021","https://openalex.org/W4384284703"],"related_works":["https://openalex.org/W258429745","https://openalex.org/W3161239248","https://openalex.org/W1584543623","https://openalex.org/W2561508161","https://openalex.org/W3195543079","https://openalex.org/W2098178683","https://openalex.org/W2740680361","https://openalex.org/W3207562294","https://openalex.org/W3187068967","https://openalex.org/W2604742737"],"abstract_inverted_index":{"In":[0,64],"this":[1],"paper,":[2],"we":[3,51],"propose":[4],"an":[5],"effective":[6],"cross-modal":[7,14],"embedding":[8],"fusing":[9],"decoder":[10],"(Cross":[11],"Decoder)":[12],"for":[13],"recipe":[15,37],"retrieval":[16,72],"tasks.":[17],"We":[18],"introduce":[19],"our":[20,48,88],"Cross":[21,49],"Decoder":[22],"into":[23],"a":[24],"recent":[25],"GAN":[26,43],"and":[27],"transformer-based":[28],"method":[29,89],"to":[30],"improve":[31],"the":[32,36,53,71,74,77,91,95],"representation":[33],"capability":[34],"of":[35,55,76],"embeddings.":[38],"By":[39],"reconstructing":[40],"images":[41],"through":[42],"using":[44],"embeddings":[45],"learned":[46],"by":[47],"Decoder,":[50],"increase":[52],"reliability":[54],"embeddings,":[56],"as":[57,59],"well":[58],"achieving":[60],"high-quality":[61],"image":[62],"generation.":[63],"addition,":[65],"with":[66],"dynamic":[67],"margins":[68],"adopted":[69],"in":[70],"loss,":[73],"performance":[75],"whole":[78],"framework":[79],"is":[80],"further":[81],"improved.":[82],"The":[83],"experimental":[84],"results":[85],"show":[86],"that":[87],"outperforms":[90],"state-of-the-art":[92],"methods":[93],"on":[94],"Recipe1M":[96],"dataset.":[97]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}