{"id":"https://openalex.org/W4307176711","doi":"https://doi.org/10.1145/3552484.3555750","title":"Real Scale Hungry Networks","display_name":"Real Scale Hungry Networks","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4307176711","doi":"https://doi.org/10.1145/3552484.3555750"},"language":"en","primary_location":{"id":"doi:10.1145/3552484.3555750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3552484.3555750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management on Multimedia Assisted Dietary Management","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/A5053879697","display_name":"Shu Naritomi","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shu Naritomi","raw_affiliation_strings":["NTT Communications Corporation &amp; The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communications Corporation &amp; The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054600485","display_name":"\u202aKeiji Yanai\u202c","orcid":"https://orcid.org/0000-0002-0431-183X"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiji Yanai","raw_affiliation_strings":["The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053879697"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19980468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9435999989509583,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9348000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.6971230506896973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6010832786560059},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5863451957702637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5820192098617554},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5779813528060913},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5666897892951965},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5598738789558411},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5500723719596863},{"id":"https://openalex.org/keywords/calorie","display_name":"Calorie","score":0.4936157464981079},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48793312907218933},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48570355772972107},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.34971338510513306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17825868725776672},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07522416114807129}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6971230506896973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6010832786560059},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5863451957702637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5820192098617554},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5779813528060913},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5666897892951965},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5598738789558411},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5500723719596863},{"id":"https://openalex.org/C40438245","wikidata":"https://www.wikidata.org/wiki/Q130964","display_name":"Calorie","level":2,"score":0.4936157464981079},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48793312907218933},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48570355772972107},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.34971338510513306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17825868725776672},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07522416114807129},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3552484.3555750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3552484.3555750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management on Multimedia Assisted Dietary Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2057352599","https://openalex.org/W2105997696","https://openalex.org/W2107722796","https://openalex.org/W2206370378","https://openalex.org/W2560722161","https://openalex.org/W2609026071","https://openalex.org/W2796312544","https://openalex.org/W2801756753","https://openalex.org/W2810185362","https://openalex.org/W2904383797","https://openalex.org/W2944736082","https://openalex.org/W2980340092","https://openalex.org/W3007357593","https://openalex.org/W3133582345","https://openalex.org/W3165070243","https://openalex.org/W4247102052","https://openalex.org/W4286696412","https://openalex.org/W6730270829"],"related_works":["https://openalex.org/W2062144625","https://openalex.org/W154145879","https://openalex.org/W1988018013","https://openalex.org/W2078394018","https://openalex.org/W3023815144","https://openalex.org/W2409107202","https://openalex.org/W3092479412","https://openalex.org/W2120709158","https://openalex.org/W4248455340","https://openalex.org/W1834370135"],"abstract_inverted_index":{"The":[0],"management":[1],"of":[2,18,41,61,103,148],"dietary":[3],"calorie":[4,39],"content":[5,40],"using":[6,138,159],"information":[7],"technology":[8],"has":[9],"become":[10],"an":[11,139,160],"essential":[12],"topic":[13],"in":[14,20,98,156],"the":[15,38,56,62,68,76,107,114,145],"multimedia":[16],"field":[17],"research":[19,30],"recent":[21,99],"years.":[22],"Therefore,":[23],"many":[24],"researchers":[25],"and":[26,31,59,128,151,163],"companies":[27],"are":[28,155],"conducting":[29],"developing":[32],"applications.":[33],"Many":[34],"methods":[35,49,105],"for":[36,125],"estimating":[37,126],"a":[42,51,71,136,149],"food":[43,63,69],"use":[44,123],"image":[45,162],"recognition.":[46],"However,":[47],"these":[48,104],"have":[50],"problem.":[52],"They":[53],"cannot":[54],"consider":[55,67],"3D":[57,90,146],"heights":[58],"depths":[60],"because":[64],"they":[65,154],"only":[66],"as":[70,153],"2D":[72],"object,":[73],"even":[74],"though":[75],"actual":[77,115],"meal":[78],"is":[79,117],"3D.":[80],"To":[81],"solve":[82],"this":[83,132],"problem,":[84],"we":[85,134],"would":[86],"like":[87],"to":[88,122],"utilize":[89],"reconstruction":[91],"techniques":[92],"based":[93],"on":[94],"deep":[95],"learning,":[96],"developed":[97],"years,":[100],"but":[101],"most":[102],"reconstruct":[106],"normalized":[108,111],"objects.":[109],"Being":[110],"means":[112],"that":[113,143],"size":[116],"unknown,":[118],"making":[119],"it":[120],"difficult":[121],"them":[124],"calories":[127],"nutritional":[129],"value.":[130],"In":[131],"paper,":[133],"propose":[135],"method":[137],"implicit":[140],"function":[141],"representation":[142],"reconstructs":[144],"shapes":[147],"dish":[150],"plate":[152],"real":[157],"scale,":[158],"RGB-D":[161],"camera":[164],"parameters.":[165]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
