{"id":"https://openalex.org/W4205767346","doi":"https://doi.org/10.1109/icsai53574.2021.9664041","title":"Clothing retrieval based by image and text combination","display_name":"Clothing retrieval based by image and text combination","publication_year":2021,"publication_date":"2021-11-13","ids":{"openalex":"https://openalex.org/W4205767346","doi":"https://doi.org/10.1109/icsai53574.2021.9664041"},"language":"en","primary_location":{"id":"doi:10.1109/icsai53574.2021.9664041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai53574.2021.9664041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Systems and Informatics (ICSAI)","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/A5024129216","display_name":"Zongbao Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zongbao Liang","raw_affiliation_strings":["ChongQing JiaoTong University, ChongQing, China"],"affiliations":[{"raw_affiliation_string":"ChongQing JiaoTong University, ChongQing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028874350","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-2486-5765"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Yang","raw_affiliation_strings":["ChongQing JiaoTong University, ChongQing, China"],"affiliations":[{"raw_affiliation_string":"ChongQing JiaoTong University, ChongQing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050639415","display_name":"YunFei Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154533","display_name":"Lushang (China)","ror":"https://ror.org/05pnk8r52","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210154533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YunFei Yuan","raw_affiliation_strings":["SICHUAN LUSHI EXPRESSWAY CO.,LTD, SiChuan, China","SICHUAN TIBET EXPRESSWAY CO.,LTD, SiChuan, China"],"affiliations":[{"raw_affiliation_string":"SICHUAN LUSHI EXPRESSWAY CO.,LTD, SiChuan, China","institution_ids":["https://openalex.org/I4210154533"]},{"raw_affiliation_string":"SICHUAN TIBET EXPRESSWAY CO.,LTD, SiChuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427253","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0001-5151-9388"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["SICHUAN TIBET EXPRESSWAY CO.,LTD, SiChuan, China"],"affiliations":[{"raw_affiliation_string":"SICHUAN TIBET EXPRESSWAY CO.,LTD, SiChuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053573876","display_name":"Feifei Tang","orcid":"https://orcid.org/0000-0003-0460-9887"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Tang","raw_affiliation_strings":["ChongQing JiaoTong University, ChongQing, China"],"affiliations":[{"raw_affiliation_string":"ChongQing JiaoTong University, ChongQing, China","institution_ids":["https://openalex.org/I63371133"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024129216"],"corresponding_institution_ids":["https://openalex.org/I63371133"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17655229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926999807357788,"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":0.7628179788589478},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.746376633644104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5803130269050598},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5623623728752136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47363534569740295},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.46201291680336},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4612205922603607},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38547271490097046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628179788589478},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.746376633644104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803130269050598},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5623623728752136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47363534569740295},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.46201291680336},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4612205922603607},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38547271490097046},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai53574.2021.9664041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai53574.2021.9664041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6953418142","display_name":null,"funder_award_id":"52178272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1895577753","https://openalex.org/W2243225650","https://openalex.org/W2605982354","https://openalex.org/W2736809457","https://openalex.org/W2798951647","https://openalex.org/W2905544595","https://openalex.org/W2963735856","https://openalex.org/W2994974226","https://openalex.org/W3141200244"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2036058638","https://openalex.org/W2528082075","https://openalex.org/W155590726"],"abstract_inverted_index":{"Image":[0],"text":[1,57,166],"combination":[2],"retrieval":[3,47,51,63],"is":[4,14,60,151,156,175],"a":[5,84,91],"new":[6],"direction":[7],"in":[8,11],"multimodal":[9],"retrieval,":[10],"which":[12,59,89,155,170],"query":[13,32],"composed":[15],"of":[16,53,62,69,126,145,161],"image":[17,24,54,78,133],"and":[18,79,95,165,177],"modified":[19,42],"text.":[20,43],"The":[21,44],"retrieved":[22],"target":[23,132],"should":[25],"not":[26],"only":[27],"be":[28],"similar":[29],"to":[30,108,159],"the":[31,37,41,49,67,102,114,124,137,142,162,173],"image,":[33],"but":[34],"also":[35],"have":[36],"change":[38],"specified":[39],"by":[40,73,153],"traditional":[45],"clothing":[46,77],"adopts":[48],"single-mode":[50],"method":[52],"search":[55],"or":[56],"search,":[58],"lack":[61],"flexibility.":[64],"To":[65],"solve":[66],"problem":[68],"feature":[70,86,94,97,139,167],"fusion":[71,87,98,111,119,129,140,168],"caused":[72],"semantic":[74,96,118],"differences":[75],"between":[76],"text,":[80],"this":[81],"paper":[82],"proposes":[83],"multi-dimensional":[85],"model,":[88],"constructs":[90],"high-dimensional":[92,110],"visual":[93,117],"model":[99,174],"based":[100],"on":[101,147],"scaling":[103],"point":[104],"product":[105],"attention":[106],"mechanism":[107],"extract":[109],"features,":[112],"then":[113],"low":[115],"dimension":[116,128],"features":[120,130],"are":[121],"used":[122],"as":[123],"residual":[125],"high":[127],"for":[131],"retrieval.":[134],"Compared":[135],"with":[136],"previous":[138],"methods,":[141],"recall":[143],"rate":[144],"Top1":[146],"Fashion200k":[148],"data":[149],"set":[150],"increased":[152],"15.4%,":[154],"obviously":[157],"superior":[158],"most":[160],"existing":[163],"graph":[164],"models,":[169],"shows":[171],"that":[172],"advanced":[176],"effective.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
