{"id":"https://openalex.org/W2972332186","doi":"https://doi.org/10.1145/3341162.3345604","title":"AutoTag","display_name":"AutoTag","publication_year":2019,"publication_date":"2019-09-09","ids":{"openalex":"https://openalex.org/W2972332186","doi":"https://doi.org/10.1145/3341162.3345604","mag":"2972332186"},"language":"en","primary_location":{"id":"doi:10.1145/3341162.3345604","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341162.3345604","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341162.3345604","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3341162.3345604","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079758613","display_name":"Carlos Ruiz","orcid":"https://orcid.org/0000-0002-0569-5310"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Ruiz","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113159048","display_name":"Jo\u00e3o Diogo Falc\u00e3o","orcid":"https://orcid.org/0009-0002-5362-7096"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joao Falcao","raw_affiliation_strings":["AiFi Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AiFi Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415694","display_name":"Pei Zhang","orcid":"https://orcid.org/0000-0002-8512-1615"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pei Zhang","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6333,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82613838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"518","last_page":"523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9962999820709229,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7979297637939453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7720061540603638},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5149194002151489},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4793975353240967},{"id":"https://openalex.org/keywords/operational-costs","display_name":"Operational costs","score":0.4433335065841675},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43459558486938477},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.41538000106811523},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32780277729034424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3094818890094757},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.21406114101409912},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09364131093025208}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7979297637939453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720061540603638},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5149194002151489},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4793975353240967},{"id":"https://openalex.org/C2986883954","wikidata":"https://www.wikidata.org/wiki/Q1362005","display_name":"Operational costs","level":2,"score":0.4433335065841675},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43459558486938477},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.41538000106811523},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32780277729034424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3094818890094757},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.21406114101409912},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09364131093025208},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341162.3345604","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341162.3345604","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341162.3345604","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3341162.3345604","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341162.3345604","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341162.3345604","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972332186.pdf","grobid_xml":"https://content.openalex.org/works/W2972332186.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1481531828","https://openalex.org/W1486439032","https://openalex.org/W1536680647","https://openalex.org/W1677409904","https://openalex.org/W1861492603","https://openalex.org/W2031901555","https://openalex.org/W2081186650","https://openalex.org/W2092998977","https://openalex.org/W2096306138","https://openalex.org/W2131959081","https://openalex.org/W2137940226","https://openalex.org/W2151103935","https://openalex.org/W2159756630","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2984662427"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W2787993192","https://openalex.org/W4394775207","https://openalex.org/W4283211831","https://openalex.org/W2798287483"],"abstract_inverted_index":{"Autonomous":[0],"checkout":[1],"at":[2],"retail":[3],"stores":[4],"could":[5,153],"bring":[6],"a":[7,57],"large":[8],"array":[9],"of":[10,84],"benefits":[11],"to":[12,124,134,156,166],"both":[13],"consumers":[14],"-no":[15],"lines,":[16],"better":[17],"user":[18],"experience-":[19],"and":[20,39,44,52,63,88,102,163],"retailers":[21],"-lower":[22],"operational":[23,64],"cost,":[24],"detailed":[25],"insights":[26],"about":[27],"customer":[28],"behavior.":[29],"Existing":[30],"approaches":[31],"include":[32],"self-checkout":[33],"stations,":[34],"on-item":[35],"sensing":[36,41,127],"(e.g.,":[37,42,128],"RFID)":[38],"infrastructure-based":[40],"vision":[43],"weight).":[45],"While":[46],"each":[47,106,167],"has":[48],"their":[49,71],"own":[50],"pros":[51],"cons,":[53],"the":[54,81,89,97,147,159],"latter":[55],"offers":[56],"good":[58],"tradeoff":[59],"between":[60,96],"information":[61],"richness":[62],"cost.":[65],"However,":[66],"several":[67],"challenges":[68],"currently":[69],"limit":[70],"accuracy.":[72],"In":[73,116],"particular,":[74],"visual":[75,161],"item":[76],"recognition":[77],"is":[78],"constrained":[79],"by":[80],"huge":[82],"amount":[83],"training":[85,98],"data":[86],"required":[87],"domain":[90],"adaptation":[91],"gap":[92],"that":[93],"usually":[94],"exists":[95],"-e.g.,":[99,105],"well-lit":[100],"environment-":[101],"testing":[103],"distributions":[104],"store":[107],"might":[108],"have":[109],"different":[110,122],"lighting":[111],"conditions,":[112],"camera":[113],"angles,":[114],"etc.":[115],"this":[117],"preliminary":[118],"work":[119],"we":[120],"explore":[121],"ways":[123],"leverage":[125],"multi-modal":[126],"weight":[129],"load":[130],"cells":[131],"on":[132,146],"shelves)":[133],"automatically":[135],"label":[136],"frames":[137,152],"from":[138],"customers":[139],"picking":[140],"up":[141],"or":[142],"putting":[143],"down":[144],"items":[145],"shelf.":[148],"Then,":[149],"those":[150],"annotated":[151],"be":[154],"used":[155],"continuously":[157],"expand":[158],"initial":[160],"model":[162],"tailor":[164],"it":[165],"store's":[168],"conditions.":[169]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-09-19T00:00:00"}
