{"id":"https://openalex.org/W4400881964","doi":"https://doi.org/10.1145/3680285","title":"Lightweight Food Recognition via Aggregation Block and Feature Encoding","display_name":"Lightweight Food Recognition via Aggregation Block and Feature Encoding","publication_year":2024,"publication_date":"2024-07-22","ids":{"openalex":"https://openalex.org/W4400881964","doi":"https://doi.org/10.1145/3680285"},"language":"en","primary_location":{"id":"doi:10.1145/3680285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3680285","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5009781452","display_name":"Yancun Yang","orcid":"https://orcid.org/0000-0003-0785-6007"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yancun Yang","raw_affiliation_strings":["School of Information and Electrical Engineering, Ludong University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Ludong University, Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039322394","display_name":"Weiqing Min","orcid":"https://orcid.org/0000-0001-6668-9208"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Min","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651062","display_name":"Jingru Song","orcid":"https://orcid.org/0009-0006-6637-2212"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingru Song","raw_affiliation_strings":["School of Information and Electrical Engineering, Ludong University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Ludong University, Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091008519","display_name":"Guorui Sheng","orcid":"https://orcid.org/0000-0001-6790-0239"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorui Sheng","raw_affiliation_strings":["School of Information and Electrical Engineering, Ludong University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Ludong University, Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356393","display_name":"Lili Wang","orcid":"https://orcid.org/0000-0002-1025-3955"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Wang","raw_affiliation_strings":["School of Information and Electrical Engineering, Ludong University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Ludong University, Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085719285","display_name":"Shuqiang Jiang","orcid":"https://orcid.org/0000-0002-1596-4326"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Jiang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009781452"],"corresponding_institution_ids":["https://openalex.org/I182707071"],"apc_list":null,"apc_paid":null,"fwci":0.7742,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68244299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"10","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9955999851226807,"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":0.9955999851226807,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.951200008392334,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8769941329956055},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6943995952606201},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6387254595756531},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5909149646759033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38622957468032837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3588540852069855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8769941329956055},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6943995952606201},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6387254595756531},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5909149646759033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38622957468032837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3588540852069855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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:10.1145/3680285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3680285","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W1979008561","https://openalex.org/W2055527244","https://openalex.org/W2087006489","https://openalex.org/W2108598243","https://openalex.org/W2109214277","https://openalex.org/W2163969215","https://openalex.org/W2194775991","https://openalex.org/W2526198870","https://openalex.org/W2583892095","https://openalex.org/W2742792558","https://openalex.org/W2752782242","https://openalex.org/W2883780447","https://openalex.org/W2962772649","https://openalex.org/W2962901913","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963433607","https://openalex.org/W2966316879","https://openalex.org/W2972610293","https://openalex.org/W2981631843","https://openalex.org/W2982083293","https://openalex.org/W2994491340","https://openalex.org/W3035414587","https://openalex.org/W3081966576","https://openalex.org/W3093234244","https://openalex.org/W3104204125","https://openalex.org/W3138516171","https://openalex.org/W3171587302","https://openalex.org/W3172509117","https://openalex.org/W3190492058","https://openalex.org/W3206983918","https://openalex.org/W4214493665","https://openalex.org/W4280538535","https://openalex.org/W4281756776","https://openalex.org/W4285428168","https://openalex.org/W4285483923","https://openalex.org/W4286750734","https://openalex.org/W4294287280","https://openalex.org/W4298634421","https://openalex.org/W4304014246","https://openalex.org/W4307176628","https://openalex.org/W4307284181","https://openalex.org/W4309955902","https://openalex.org/W4312695107","https://openalex.org/W4312769570","https://openalex.org/W4312950730","https://openalex.org/W4319996536","https://openalex.org/W4320459518","https://openalex.org/W4376870287","https://openalex.org/W4386076083","https://openalex.org/W4386076539","https://openalex.org/W4390668715","https://openalex.org/W6603884005"],"related_works":["https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W2372403409","https://openalex.org/W2060429446","https://openalex.org/W2741782512","https://openalex.org/W4242726756","https://openalex.org/W3011302839","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Food":[0],"image":[1,58,155],"recognition":[2,59,156,179],"has":[3],"recently":[4],"been":[5],"given":[6],"considerable":[7],"attention":[8],"in":[9,13,29,198,235],"the":[10,24,37,53,134,137,141,147,201,212,216],"multimedia":[11],"field":[12],"light":[14],"of":[15,23,27,42,56,88,136,144,170,205,211],"its":[16],"possible":[17],"implications":[18],"on":[19,36,65,107,140,175,215],"health.":[20],"The":[21,229],"characteristics":[22],"dispersed":[25],"distribution":[26],"ingredients":[28],"food":[30,57,97,154,178],"images":[31],"put":[32],"forward":[33],"higher":[34,189],"requirements":[35],"long-range":[38],"information":[39,119],"extraction":[40],"ability":[41],"neural":[43],"networks,":[44],"leading":[45],"to":[46,200],"more":[47,227],"complex":[48],"and":[49,68,93,117,161,191,194,223],"deeper":[50],"models.":[51],"Nevertheless,":[52],"lightweight":[54,83,153],"version":[55],"is":[60,86],"essential":[61],"for":[62],"improved":[63],"implementation":[64],"end":[66],"devices":[67],"sustained":[69],"server-side":[70],"expansion.":[71],"To":[72],"address":[73],"this":[74],"issue,":[75],"we":[76,101,150],"present":[77],"Aggregation":[78],"Feature":[79],"Net":[80],"(AFNet),":[81],"a":[82,103,108,129,152,162,167],"network":[84,157],"that":[85,131,182],"capable":[87],"effectively":[89],"capturing":[90],"both":[91],"global":[92,113],"local":[94,126],"features":[95,114],"from":[96],"images.":[98],"In":[99],"AFNet,":[100],"develop":[102],"novel":[104],"convolution":[105,127],"based":[106],"residual":[109],"model":[110,204],"by":[111,146,166],"encoding":[112],"through":[115],"row-wise":[116],"column-wise":[118],"integration.":[120],"Merging":[121],"aggregation":[122,148],"block":[123],"with":[124,158,188,220],"classic":[125],"yields":[128],"framework":[130],"works":[132],"as":[133],"backbone":[135],"network.":[138],"Based":[139],"efficient":[142],"use":[143],"parameters":[145,222],"block,":[149],"constructed":[151],"fewer":[159,192],"layers":[160],"smaller":[163],"scale,":[164],"assisted":[165],"new":[168],"type":[169],"activation":[171],"function.":[172],"Experimental":[173],"results":[174],"four":[176],"popular":[177],"datasets":[180],"demonstrate":[181],"our":[183],"approach":[184],"achieves":[185],"state-of-the-art":[186,203],"performance":[187],"accuracy":[190,210],"FLOPs":[193,224],"parameters.":[195],"For":[196],"example,":[197],"comparison":[199],"current":[202],"MobileViTv2,":[206],"AFNet":[207],"achieved":[208],"88.4%":[209],"top-1":[213],"level":[214],"ETHZ":[217],"Food-101":[218],"dataset,":[219],"similar":[221],"but":[225],"1.4%":[226],"accuracy.":[228],"source":[230],"code":[231],"will":[232],"be":[233],"provided":[234],"supplementary":[236],"materials.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
