{"id":"https://openalex.org/W2754682939","doi":"https://doi.org/10.1109/icip.2017.8296452","title":"Street-to-shop shoe retrieval with multi-scale viewpoint invariant triplet network","display_name":"Street-to-shop shoe retrieval with multi-scale viewpoint invariant triplet network","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2754682939","doi":"https://doi.org/10.1109/icip.2017.8296452","mag":"2754682939"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5084909078","display_name":"Huijing Zhan","orcid":"https://orcid.org/0000-0003-3171-2214"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Huijing Zhan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038326097","display_name":"Boxin Shi","orcid":"https://orcid.org/0000-0001-6749-0364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boxin Shi","raw_affiliation_strings":["Artificial Intelligence Research Center, National Institute of AIST"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, National Institute of AIST","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080977911","display_name":"Alex C. Kot","orcid":"https://orcid.org/0000-0001-6262-8125"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Alex C. Kot","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084909078"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64020744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"34","issue":null,"first_page":"1102","last_page":"1106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9977999925613403,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9977999925613403,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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":0.9879000186920166,"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":0.5952136516571045},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5904648900032043},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5600409507751465},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5193882584571838},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5070538520812988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5011475086212158},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44265156984329224},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.44142138957977295},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4122805595397949},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3496166467666626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3309307396411896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1999433934688568},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1642637550830841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952136516571045},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5904648900032043},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5600409507751465},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5193882584571838},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5070538520812988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5011475086212158},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44265156984329224},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.44142138957977295},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4122805595397949},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3496166467666626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3309307396411896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1999433934688568},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1642637550830841},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/icip.2017.8296452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W146395692","https://openalex.org/W753012316","https://openalex.org/W1686810756","https://openalex.org/W1907729166","https://openalex.org/W1955857676","https://openalex.org/W2021354639","https://openalex.org/W2038147967","https://openalex.org/W2096733369","https://openalex.org/W2108862644","https://openalex.org/W2115091888","https://openalex.org/W2135367695","https://openalex.org/W2138621090","https://openalex.org/W2157732827","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2170881581","https://openalex.org/W2200092826","https://openalex.org/W2409897154","https://openalex.org/W2463470988","https://openalex.org/W2467281799","https://openalex.org/W2471768434","https://openalex.org/W2752163824","https://openalex.org/W2962835968","https://openalex.org/W3098379913","https://openalex.org/W3099206234","https://openalex.org/W3103850820","https://openalex.org/W6600313631","https://openalex.org/W6605931512","https://openalex.org/W6622239757","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6720467090"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2097033632","https://openalex.org/W2021670453","https://openalex.org/W2021783512"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,47,74,95,126],"aim":[4],"to":[5],"find":[6],"exactly":[7],"the":[8,20,33,42,59,65,82,87,97,107,122,135,144,153],"same":[9,88],"shoes":[10,53,89,110],"given":[11],"a":[12,49,55,76,128],"daily":[13,136],"shoe":[14,23,38,71,132],"photo":[15,24],"(street":[16],"scenario)":[17],"that":[18,80,106],"matches":[19],"online":[21,139],"shop":[22,36],"(shop":[25],"scenario).":[26],"There":[27],"are":[28],"large":[29,129],"visual":[30],"differences":[31],"between":[32,68,84],"street":[34],"and":[35,138],"scenario":[37],"images.":[39,72],"To":[40,119],"handle":[41],"discrepancy":[43],"of":[44,62,86,109,114,155],"different":[45,92,103,112,117],"scenarios,":[46],"learn":[48],"feature":[50,60],"embedding":[51],"for":[52],"via":[54],"viewpoint-invariant":[56],"triplet":[57,99,124],"network,":[58],"activations":[61],"which":[63,151],"reflect":[64],"inherent":[66],"similarity":[67],"any":[69],"two":[70,102],"Specifically,":[73],"propose":[75],"new":[77],"loss":[78],"function":[79],"minimizes":[81],"distances":[83],"images":[85,133],"captured":[90],"from":[91,134],"viewpoints.":[93],"Moreover,":[94],"train":[96],"proposed":[98,157],"network":[100],"at":[101,116],"scales":[104],"so":[105],"representation":[108],"incorporates":[111],"levels":[113],"invariance":[115],"scales.":[118],"support":[120],"training":[121],"multi-scale":[123],"networks,":[125],"collect":[127],"dataset":[130,145],"with":[131],"life":[137],"shopping":[140],"websites.":[141],"Experiments":[142],"on":[143],"show":[146],"excellence":[147],"over":[148],"state-of-the-art":[149],"approaches,":[150],"demonstrate":[152],"effectiveness":[154],"our":[156],"method.":[158]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}