{"id":"https://openalex.org/W4386634538","doi":"https://doi.org/10.1109/tii.2023.3308771","title":"Split-Check: Boosting Product Recognition via Instance-Level Retrieval","display_name":"Split-Check: Boosting Product Recognition via Instance-Level Retrieval","publication_year":2023,"publication_date":"2023-09-12","ids":{"openalex":"https://openalex.org/W4386634538","doi":"https://doi.org/10.1109/tii.2023.3308771"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3308771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3308771","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5019927202","display_name":"Chengxu Liu","orcid":"https://orcid.org/0000-0001-8023-9465"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxu Liu","raw_affiliation_strings":["School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8023-9465","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086882600","display_name":"Zongyang Da","orcid":"https://orcid.org/0000-0002-4956-3205"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyang Da","raw_affiliation_strings":["School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4956-3205","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083809031","display_name":"Yuanzhi Liang","orcid":"https://orcid.org/0000-0002-3429-9798"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhi Liang","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3429-9798","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051279430","display_name":"Yao Xue","orcid":"https://orcid.org/0000-0003-1162-1120"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Xue","raw_affiliation_strings":["School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1162-1120","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079805574","display_name":"Guoshuai Zhao","orcid":"https://orcid.org/0000-0003-4392-8450"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoshuai Zhao","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4392-8450","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014825654","display_name":"Xueming Qian","orcid":"https://orcid.org/0000-0002-3173-6307"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueming Qian","raw_affiliation_strings":["Ministry of Education Key Laboratory for Intelligent Networks and Network Security, School of Information and Communication Engineering, and SMILES LAB, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3173-6307","affiliations":[{"raw_affiliation_string":"Ministry of Education Key Laboratory for Intelligent Networks and Network Security, School of Information and Communication Engineering, and SMILES LAB, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50190229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"20","issue":"3","first_page":"3521","last_page":"3529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9781000018119812,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9781000018119812,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9186000227928162,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9165999889373779,"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":0.7016048431396484},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6747214794158936},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6628145575523376},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5940775871276855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5055372714996338},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4038044810295105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3646671175956726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3620704412460327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3529818058013916},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18846982717514038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15507569909095764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016048431396484},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6747214794158936},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6628145575523376},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5940775871276855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5055372714996338},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4038044810295105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3646671175956726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3620704412460327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3529818058013916},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18846982717514038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15507569909095764},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2023.3308771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3308771","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1070160424","display_name":null,"funder_award_id":"62103317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8157936946","display_name":null,"funder_award_id":"62272380","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":35,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2096733369","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2295537791","https://openalex.org/W2499468060","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2601707599","https://openalex.org/W2899160181","https://openalex.org/W2963090248","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963539956","https://openalex.org/W2963775347","https://openalex.org/W2963988212","https://openalex.org/W2971900262","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W2989608398","https://openalex.org/W2990519439","https://openalex.org/W3012573144","https://openalex.org/W3034427487","https://openalex.org/W3035396860","https://openalex.org/W3096166514","https://openalex.org/W3106146634","https://openalex.org/W3107867277","https://openalex.org/W3126404086","https://openalex.org/W3160015753","https://openalex.org/W4283733772","https://openalex.org/W4313561335","https://openalex.org/W4386076325","https://openalex.org/W6637373629","https://openalex.org/W6750227808","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W2067869703","https://openalex.org/W3082059448","https://openalex.org/W4313640622","https://openalex.org/W3151146928"],"abstract_inverted_index":{"AI-based":[0],"methods":[1],"are":[2],"shining":[3],"across":[4],"a":[5,71,127,145],"variety":[6],"of":[7,17,23,47,85,87,102,160,162,175,186,188,194],"industries,":[8],"especially":[9],"unmanned":[10,32],"retail.":[11],"Product":[12],"recognition":[13,73,184],"is":[14,52,99,164],"the":[15,19,49,83,100,113,133,138,158,167,173,176,183,192],"problem":[16],"recognizing":[18],"category":[20],"and":[21,27,91,120,190],"quantity":[22],"products":[24,44,63,88,189],"(e.g.,":[25],"beverages":[26],"mineral":[28],"water)":[29],"in":[30,45,156],"intelligent":[31,77],"vending":[33],"machines":[34],"(UVMs)":[35],"to":[36],"automatic":[37],"checkout":[38],"during":[39],"purchase.":[40],"However,":[41],"for":[42,61],"similar":[43],"hundreds":[46,187],"categories,":[48],"existing":[50,168],"method":[51,180],"not":[53],"accurate":[54],"enough.":[55],"Besides,":[56,142],"they":[57],"cannot":[58],"be":[59],"extended":[60],"new":[62],"without":[64],"retraining.":[65],"In":[66],"this":[67],"article,":[68],"we":[69,143],"propose":[70],"product":[72,94,148],"approach":[74],"based":[75,151],"on":[76,152],"UVMs,":[78],"calledSplit-Check,":[79],"which":[80,157],"first":[81],"splits":[82],"region":[84],"interest":[86],"by":[89,95],"detection":[90,108],"then":[92,117],"check":[93],"instance-level":[96],"retrieval.":[97],"Split-Check":[98],"combination":[101],"two":[103],"important":[104],"components.":[105],"The":[106,129],"preliminary":[107],"distinguishes":[109,132],"items":[110,135,163],"that":[111,136],"contain":[112,137],"different":[114,139],"coarse-grained":[115,124],"features,":[116],"locates":[118],"items,":[119],"classifies":[121],"them":[122],"into":[123],"categories":[125,147,161],"as":[126],"candidate.":[128],"retrieval":[130],"further":[131],"candidate":[134],"fine-grained":[140],"features.":[141],"reconstruct":[144],"large-scale":[146],"dataset":[149],"GOODS-85":[150],"actual":[153],"UVMs":[154],"scenarios,":[155],"number":[159],"larger":[165],"than":[166],"dataset.":[169],"Experimental":[170],"results":[171],"demonstrate":[172],"effectiveness":[174],"proposed":[177],"approach.":[178],"Our":[179],"significantly":[181],"improves":[182],"performance":[185],"increases":[191],"scalability":[193],"products.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}