{"id":"https://openalex.org/W4380607258","doi":"https://doi.org/10.1109/tmm.2023.3284593","title":"Learning Structured Relation Embeddings for Fine-Grained Fashion Attribute Recognition","display_name":"Learning Structured Relation Embeddings for Fine-Grained Fashion Attribute Recognition","publication_year":2023,"publication_date":"2023-06-14","ids":{"openalex":"https://openalex.org/W4380607258","doi":"https://doi.org/10.1109/tmm.2023.3284593"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3284593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3284593","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5063668557","display_name":"Shumin Zhu","orcid":"https://orcid.org/0000-0003-4050-9592"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shumin Zhu","raw_affiliation_strings":["School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-4050-9592","affiliations":[{"raw_affiliation_string":"School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016629206","display_name":"Xingxing Zou","orcid":"https://orcid.org/0000-0002-0336-3734"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xingxing Zou","raw_affiliation_strings":["School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-0336-3734","affiliations":[{"raw_affiliation_string":"School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064363522","display_name":"Jianjun Qian","orcid":"https://orcid.org/0000-0002-0968-8556"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Qian","raw_affiliation_strings":["PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0968-8556","affiliations":[{"raw_affiliation_string":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026796400","display_name":"Wai Keung Wong","orcid":"https://orcid.org/0000-0002-5214-7114"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wai Keung Wong","raw_affiliation_strings":["School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5214-7114","affiliations":[{"raw_affiliation_string":"School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6382,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69309663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"1652","last_page":"1664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T11448","display_name":"Face recognition and analysis","score":0.9966999888420105,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9835000038146973,"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":0.8383705615997314},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7033413648605347},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.649908721446991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5762984156608582},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.5225524306297302},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5159212350845337},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4950801432132721},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.4794829785823822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47791939973831177},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4686011075973511},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4224846363067627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.346858412027359},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32356521487236023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8383705615997314},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7033413648605347},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.649908721446991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5762984156608582},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.5225524306297302},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5159212350845337},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4950801432132721},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.4794829785823822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47791939973831177},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4686011075973511},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4224846363067627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.346858412027359},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32356521487236023},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"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/tmm.2023.3284593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3284593","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W146395692","https://openalex.org/W181871703","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2051926867","https://openalex.org/W2108598243","https://openalex.org/W2118712128","https://openalex.org/W2143854982","https://openalex.org/W2146241755","https://openalex.org/W2151103935","https://openalex.org/W2156935079","https://openalex.org/W2161969291","https://openalex.org/W2170881581","https://openalex.org/W2171671655","https://openalex.org/W2296447001","https://openalex.org/W2421475762","https://openalex.org/W2471768434","https://openalex.org/W2483053118","https://openalex.org/W2614562328","https://openalex.org/W2737102415","https://openalex.org/W2775528509","https://openalex.org/W2798734012","https://openalex.org/W2798951647","https://openalex.org/W2802650881","https://openalex.org/W2905373637","https://openalex.org/W2913186260","https://openalex.org/W2922363702","https://openalex.org/W2932399282","https://openalex.org/W2955058313","https://openalex.org/W2963052338","https://openalex.org/W2963233340","https://openalex.org/W2963300078","https://openalex.org/W2963452792","https://openalex.org/W2963745697","https://openalex.org/W2963875806","https://openalex.org/W2970127347","https://openalex.org/W2977466257","https://openalex.org/W2981747147","https://openalex.org/W2982112268","https://openalex.org/W2995278328","https://openalex.org/W3011730758","https://openalex.org/W3034784849","https://openalex.org/W3035131301","https://openalex.org/W3043515420","https://openalex.org/W3081513613","https://openalex.org/W3099462466","https://openalex.org/W3100153382","https://openalex.org/W3106540896","https://openalex.org/W3110551393","https://openalex.org/W3132016729","https://openalex.org/W3133501200","https://openalex.org/W3142806976","https://openalex.org/W3155833376","https://openalex.org/W3167456680","https://openalex.org/W3190703182","https://openalex.org/W3195866476","https://openalex.org/W4200563083","https://openalex.org/W4206269275","https://openalex.org/W4214673031","https://openalex.org/W4214736485","https://openalex.org/W4220802905","https://openalex.org/W4225380672","https://openalex.org/W4312844845","https://openalex.org/W6637373629","https://openalex.org/W6739901393","https://openalex.org/W6746152039"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W2363753014","https://openalex.org/W2385567678","https://openalex.org/W2355121635","https://openalex.org/W1967100394","https://openalex.org/W4312476862","https://openalex.org/W1495086659","https://openalex.org/W2016995243","https://openalex.org/W2382163390","https://openalex.org/W4254623023"],"abstract_inverted_index":{"Fashion":[0],"attribute":[1,42,50,72,92,100,112,121,129,152,161,185,192],"recognition":[2,162,186],"is":[3],"a":[4,9,24,58,149,166],"not-new":[5],"topic,":[6],"but":[7],"rather":[8],"core":[10],"task":[11],"in":[12,34,163],"understanding":[13],"fashion":[14,35,49,60,191],"from":[15,165],"the":[16,46,55,96,106,111,115,120,123,128,133,138,171,175,195],"perspective":[17,168],"of":[18,48,57,174],"computer":[19],"vision.":[20],"This":[21],"article":[22],"proposes":[23],"structured":[25],"relation-aware":[26,88],"network":[27],"(sRA-Net),":[28],"which":[29],"exploits":[30],"multiple":[31],"hidden":[32],"relations":[33],"images":[36,164],"to":[37,44,109,147,159],"enrich":[38],"and":[39,75,104,126,179,198],"achieve":[40],"accurate":[41],"representations":[43],"boost":[45],"performance":[47],"recognition.":[51],"Specifically,":[52],"it":[53],"deconstructs":[54],"features":[56,125],"clothing":[59,77],"item":[61],"into":[62],"three":[63,87],"levels,":[64],"including":[65],"low-level":[66],"attribute-related":[67,134,143],"image":[68,124,135,144],"region":[69],"information,":[70,74],"mid-level":[71],"dependency":[73],"high-level":[76],"look":[78],"information.":[79],"To":[80],"learn":[81],"these":[82],"multi-relational":[83],"embeddings,":[84],"we":[85,155],"present":[86],"attention":[89,93,107,117,140],"mechanisms.":[90],"The":[91],"mechanism":[94,118,141],"describes":[95],"relationship":[97],"among":[98],"different":[99],"vectors":[101],"through":[102],"self-attention":[103],"uses":[105],"map":[108],"update":[110],"embedding.":[113,153],"Then,":[114],"spatial":[116],"associates":[119],"with":[122,201],"enhances":[127],"embedding":[130,158],"by":[131,169],"leveraging":[132],"region.":[136],"Finally,":[137],"channel":[139],"selects":[142],"feature":[145],"channels":[146],"obtain":[148],"more":[150],"fine-grained":[151],"Furthermore,":[154],"introduce":[156],"structure-aware":[157],"constrain":[160],"global":[167],"identifying":[170],"inner":[172],"structure":[173],"clothing.":[176],"Without":[177],"bells":[178],"whistles,":[180],"sRA-Net":[181],"outperforms":[182],"all":[183],"state-of-the-art":[184],"methods":[187],"on":[188],"two":[189],"mainstream":[190],"datasets,":[193],"namely":[194],"DeepFashion-C":[196],"dataset":[197],"iFashion-Attribute":[199],"dataset,":[200],"over":[202],"1%-3%":[203],"improvement.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
