{"id":"https://openalex.org/W3030838943","doi":"https://doi.org/10.1145/3383972.3384048","title":"Joint Image-text Representation Learning for Fashion Retrieval","display_name":"Joint Image-text Representation Learning for Fashion Retrieval","publication_year":2020,"publication_date":"2020-02-15","ids":{"openalex":"https://openalex.org/W3030838943","doi":"https://doi.org/10.1145/3383972.3384048","mag":"3030838943"},"language":"en","primary_location":{"id":"doi:10.1145/3383972.3384048","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3384048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","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/A5057832613","display_name":"Cairong Yan","orcid":"https://orcid.org/0000-0003-0313-8833"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cairong Yan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101563563","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-2318-5015"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Li","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017888402","display_name":"Yongquan Wan","orcid":"https://orcid.org/0000-0002-6911-0852"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Wan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100764320","display_name":"Zhaohui Zhang","orcid":"https://orcid.org/0000-0002-3171-7667"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057832613"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48001949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"412","last_page":"417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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":0.9980999827384949,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9865000247955322,"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/computer-science","display_name":"Computer science","score":0.8027719855308533},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.602586030960083},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6006811857223511},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5993692874908447},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5372294187545776},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.536706805229187},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4828075170516968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4812716841697693},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.45201146602630615},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.42625582218170166},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.4246251583099365},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41505327820777893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36307838559150696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11524093151092529},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08435115218162537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027719855308533},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.602586030960083},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6006811857223511},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5993692874908447},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5372294187545776},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.536706805229187},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4828075170516968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4812716841697693},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.45201146602630615},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.42625582218170166},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.4246251583099365},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41505327820777893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36307838559150696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11524093151092529},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08435115218162537},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383972.3384048","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3384048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W771469340","https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2101498401","https://openalex.org/W2131846894","https://openalex.org/W2163605009","https://openalex.org/W2171671655","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2313131270","https://openalex.org/W2783914869","https://openalex.org/W2802332393","https://openalex.org/W2806070956","https://openalex.org/W2884870985","https://openalex.org/W4299828299","https://openalex.org/W6656652561","https://openalex.org/W6686207219"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2947282851","https://openalex.org/W2184288218","https://openalex.org/W2071180033","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W155590726","https://openalex.org/W2147874738","https://openalex.org/W2036058638"],"abstract_inverted_index":{"There":[0],"is":[1,56],"a":[2,47,106,115,132],"demand":[3],"in":[4,136],"the":[5,20,25,66,79,84,88,95,97,112,121],"current":[6],"fashion":[7],"e-commerce":[8],"field":[9],"that":[10,16,119,128],"users":[11],"expect":[12],"to":[13,19,59,78,82,140],"find":[14],"products":[15],"are":[17],"similar":[18],"query":[21,26],"image":[22,104],"and":[23,33,69,74,105,111],"match":[24],"text":[27,109],"description":[28],"simultaneously.":[29],"Traditional":[30],"text-based":[31],"retrieval":[32,35,138],"image-based":[34],"methods":[36],"cannot":[37],"deal":[38],"with":[39],"this":[40,43],"issue.":[41],"In":[42,94],"paper,":[44],"we":[45],"propose":[46],"fashion-oriented":[48],"image-text":[49,137],"representation":[50,90],"learning":[51],"model":[52,130],"called":[53],"FashionCorrNet.":[54],"It":[55],"an":[57,103],"improvement":[58],"correlational":[60],"neural":[61],"network":[62,67],"(CorrNet)":[63],"by":[64],"deepening":[65],"structure":[68],"merging":[70],"Kendall":[71],"correlation":[72,76],"coefficient":[73,77],"Pearson":[75],"objective":[80],"function":[81],"maximize":[83],"semantic":[85],"similarity":[86],"between":[87],"hidden":[89],"of":[91,100,108,117],"different":[92],"modalities.":[93],"model,":[96],"input":[98],"consists":[99],"two":[101],"parts,":[102],"piece":[107],"description,":[110],"output":[113],"returns":[114],"collection":[116],"images":[118],"meet":[120],"conditions.":[122],"Experiments":[123],"on":[124],"Amazon":[125],"dataset":[126],"demonstrate":[127],"our":[129],"achieves":[131],"significant":[133],"performance":[134],"gain":[135],"compared":[139],"state-of-the-art":[141],"models.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
