{"id":"https://openalex.org/W4378804462","doi":"https://doi.org/10.1145/3592686.3592726","title":"Lightweight Facial Expression Recognition Network with Dynamic Deep Mutual Learning","display_name":"Lightweight Facial Expression Recognition Network with Dynamic Deep Mutual Learning","publication_year":2023,"publication_date":"2023-02-10","ids":{"openalex":"https://openalex.org/W4378804462","doi":"https://doi.org/10.1145/3592686.3592726"},"language":"en","primary_location":{"id":"doi:10.1145/3592686.3592726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592686.3592726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Bioinformatics and Intelligent Computing","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/A5005963995","display_name":"Minchen Zeng","orcid":"https://orcid.org/0009-0006-4672-3230"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minchen Zeng","raw_affiliation_strings":["School of Electronics and Information Engineering, Southwest University, China"],"raw_orcid":"https://orcid.org/0009-0006-4672-3230","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063349506","display_name":"Yutong Luo","orcid":"https://orcid.org/0000-0002-9975-1853"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Luo","raw_affiliation_strings":["School of Electronics and Information Engineering, Southwest University, China"],"raw_orcid":"https://orcid.org/0000-0002-9975-1853","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031291553","display_name":"Guangyuan Liu","orcid":"https://orcid.org/0000-0002-8058-5947"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyuan Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Southwest University, China"],"raw_orcid":"https://orcid.org/0000-0002-8058-5947","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005963995"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.995,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7633978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"222","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.994700014591217,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8116320371627808},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.6951109170913696},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.6595968008041382},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6155675649642944},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5289689898490906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4825255572795868},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4701291024684906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40419918298721313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3902777135372162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116320371627808},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.6951109170913696},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6595968008041382},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6155675649642944},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5289689898490906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4825255572795868},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4701291024684906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40419918298721313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3902777135372162},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3592686.3592726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592686.3592726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2558687840","https://openalex.org/W2620998106","https://openalex.org/W2745497104","https://openalex.org/W2889978276","https://openalex.org/W2951975363","https://openalex.org/W2963163009","https://openalex.org/W2963321416","https://openalex.org/W3007476359","https://openalex.org/W3034504038","https://openalex.org/W3034552680","https://openalex.org/W3035336958","https://openalex.org/W3035414587","https://openalex.org/W3122081138","https://openalex.org/W3173787706","https://openalex.org/W3175546442","https://openalex.org/W3177052299","https://openalex.org/W3205895757","https://openalex.org/W4289744912"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W3034529322","https://openalex.org/W2113597336","https://openalex.org/W1991580985","https://openalex.org/W2155505549","https://openalex.org/W2115913271","https://openalex.org/W2611989081","https://openalex.org/W2357479218","https://openalex.org/W4287865932","https://openalex.org/W3007082718"],"abstract_inverted_index":{"Existing":[0],"CNN-based":[1],"Facial":[2,57],"Expression":[3,58],"Recognition":[4,59],"(FER)":[5],"networks":[6,16],"perform":[7],"well":[8],"in":[9,29,32,44,205,213,216],"terms":[10],"of":[11,22,175,180],"performance,":[12],"but":[13],"these":[14],"large":[15,20],"often":[17],"have":[18],"a":[19,55,67,108,194],"number":[21],"parameters":[23,99],"and":[24,65,88,100,133,136,144,151,172,199,212,223],"high":[25],"computational":[26,86],"complexity,":[27],"resulting":[28],"low":[30,45],"efficiency":[31],"practical":[33],"applications.":[34],"To":[35],"enable":[36],"facial":[37],"expression":[38,178],"recognition":[39,124],"models":[40],"to":[41,71,116,120,155,165],"run":[42],"efficiently":[43],"computing":[46],"power":[47],"platforms":[48],"such":[49,207,218],"as":[50,208,219],"mobile":[51],"devices.":[52],"We":[53,126],"build":[54],"lightweight":[56,68,158],"(LWFER)":[60],"network":[61,77,93,119,162],"based":[62],"on":[63,80,129,140,148],"GhostNet":[64],"apply":[66],"attention":[69],"module":[70],"the":[72,76,90,123,130,141,145,149,156,173,214],"network,":[73],"which":[74],"makes":[75],"focus":[78],"more":[79],"important":[81],"features":[82],"while":[83],"adding":[84],"little":[85],"cost,":[87],"finally":[89],"whole":[91],"LWFER":[92],"has":[94],"only":[95],"about":[96,101],"0.8":[97],"million":[98,103],"0.9":[102],"multiply-add":[104],"operations":[105],"(MAdds).":[106],"And":[107],"dynamic":[109],"deep":[110],"mutual":[111],"learning":[112],"approach":[113,192],"is":[114,163,185],"used":[115,204],"train":[117],"our":[118,191],"further":[121],"improve":[122],"accuracy.":[125],"conducted":[127],"experiments":[128],"RAF-DB,":[131],"AffectNet-7":[132,150],"AffectNet-8":[134,152],"datasets":[135,153],"achieved":[137],"comparable":[138],"results":[139,147],"RAF-DB":[142],"dataset":[143],"best":[146],"compared":[154],"state-of-the-art":[157],"approach.":[159],"The":[160],"proposed":[161],"deployed":[164],"Android":[166],"devices":[167],"with":[168],"Snapdragon":[169],"865":[170],"chips":[171],"latency":[174],"inferring":[176],"an":[177],"image":[179],"224":[181,183],"\u00d7":[182],"size":[184],"17":[186],"millisecond":[187],"(ms),":[188],"demonstrating":[189],"that":[190],"strikes":[193],"good":[195],"balance":[196],"between":[197],"performance":[198],"efficiency.":[200],"It":[201],"can":[202],"be":[203],"fields":[206,217],"driver":[209],"sentiment":[210],"recognition,":[211],"future,":[215],"user":[220],"preference":[221],"prediction":[222],"advertising":[224],"recommendations.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}