{"id":"https://openalex.org/W4214650350","doi":"https://doi.org/10.1145/3508546.3508577","title":"Region-Level Attention Network for Food and Ingredient Joint Recognition","display_name":"Region-Level Attention Network for Food and Ingredient Joint Recognition","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4214650350","doi":"https://doi.org/10.1145/3508546.3508577"},"language":"en","primary_location":{"id":"doi:10.1145/3508546.3508577","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508546.3508577","pdf_url":null,"source":{"id":"https://openalex.org/S4363608505","display_name":"2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","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/A5036629439","display_name":"Yirong Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yirong Xue","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008455605","display_name":"Kai Niu","orcid":"https://orcid.org/0000-0002-8076-1867"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Niu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689912","display_name":"Zhiqiang He","orcid":"https://orcid.org/0000-0002-5010-3118"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang He","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036629439"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":2.6907,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.93054844,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9557999968528748,"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/T12388","display_name":"Identification and Quantification in Food","score":0.9553999900817871,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ingredient","display_name":"Ingredient","score":0.8030805587768555},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5965254306793213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.577613353729248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.387629896402359},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3359714150428772},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12450778484344482},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.11880534887313843}],"concepts":[{"id":"https://openalex.org/C2780589914","wikidata":"https://www.wikidata.org/wiki/Q10675206","display_name":"Ingredient","level":2,"score":0.8030805587768555},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5965254306793213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577613353729248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.387629896402359},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3359714150428772},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12450778484344482},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.11880534887313843},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508546.3508577","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508546.3508577","pdf_url":null,"source":{"id":"https://openalex.org/S4363608505","display_name":"2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4430271706","display_name":null,"funder_award_id":"2020-2-4079","funder_id":"https://openalex.org/F4320335482","funder_display_name":"Capital Health Research and Development of Special Fund"},{"id":"https://openalex.org/G7656437475","display_name":null,"funder_award_id":"2021YFE0205300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8811255035","display_name":null,"funder_award_id":"2020XD-A02-2","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335482","display_name":"Capital Health Research and Development of Special Fund","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1496513042","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2295038384","https://openalex.org/W2526198870","https://openalex.org/W2583892095","https://openalex.org/W2950839819","https://openalex.org/W2964137095","https://openalex.org/W2966316879","https://openalex.org/W2981631843","https://openalex.org/W3014641072","https://openalex.org/W3035381232","https://openalex.org/W3046372357","https://openalex.org/W3082811686","https://openalex.org/W3115266926","https://openalex.org/W3116705075","https://openalex.org/W3120468617","https://openalex.org/W3125132033"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2490316842","https://openalex.org/W1650653924","https://openalex.org/W4221018629","https://openalex.org/W1997883897","https://openalex.org/W2475097056","https://openalex.org/W2088663511","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Food":[0,187],"image":[1,86],"recognition":[2,27,183],"is":[3,17,64,69,106,122],"a":[4,94,119,158],"challenging":[5],"task":[6],"that":[7,72,174],"predicts":[8],"the":[9,73,115,134,137,141,147,151,178,185,192],"image\u2019s":[10],"food":[11,31,76,100,127,152,195],"category":[12,77,153],"or":[13],"ingredient":[14,62,79,102,131,182],"composition.":[15],"It":[16],"an":[18],"essential":[19],"and":[20,28,40,67,78,101,129,154,191],"fundamental":[21],"step":[22],"to":[23,49,57,85,124,162],"realize":[24],"automatic":[25],"dietary":[26],"assessment.":[29],"Many":[30],"images,":[32],"especially":[33],"Chinese":[34,186],"food,":[35],"lack":[36],"distinctive":[37],"structured":[38],"information":[39],"fixed":[41],"semantic":[42],"patterns.":[43],"The":[44,170],"current":[45],"approaches":[46],"have":[47],"proposed":[48],"capture":[50],"more":[51],"discriminative":[52],"features":[53,128,132,166],"from":[54],"local/attention-based":[55],"perspectives":[56],"overcome":[58],"this":[59,90],"problem.":[60],"However,":[61],"composition":[63,80],"often":[65],"overlooked,":[66],"it":[68],"worth":[70],"noticing":[71],"relation":[74,164],"of":[75,108,136,194],"may":[81],"also":[82,198],"be":[83],"conducive":[84],"recognition.":[87],"Therefore,":[88],"in":[89,114,181],"paper,":[91],"we":[92,156],"propose":[93,157],"Region-Level":[95],"Attention":[96],"Network":[97],"(RLA-Net)":[98],"for":[99,167],"joint":[103],"classification,":[104],"which":[105],"composed":[107],"two":[109],"stage":[110],"modules.":[111],"More":[112],"specifically,":[113],"Feature":[116],"Extraction":[117],"Stage,":[118,144],"two-branch":[120],"structure":[121],"designed":[123],"extract":[125],"global":[126],"local-region":[130],"under":[133],"supervision":[135],"ground-truth":[138],"label.":[139],"In":[140],"Relation":[142],"Fusion":[143],"by":[145],"utilizing":[146],"mutual":[148],"relationship":[149],"between":[150],"ingredients,":[155],"Region-Weighted":[159],"Module":[160],"(RWM)":[161],"obtain":[163],"fusion":[165],"better":[168],"performance.":[169],"experimental":[171],"results":[172,193],"demonstrate":[173],"our":[175],"model":[176],"achieves":[177],"state-of-the-art":[179],"performance":[180],"on":[184],"dataset":[188],"VIREO":[189],"Food-172,":[190],"classification":[196],"are":[197],"competitive.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}