{"id":"https://openalex.org/W3210459359","doi":"https://doi.org/10.1109/mapr53640.2021.9585199","title":"An improved spiking network conversion for image classification","display_name":"An improved spiking network conversion for image classification","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3210459359","doi":"https://doi.org/10.1109/mapr53640.2021.9585199","mag":"3210459359"},"language":"en","primary_location":{"id":"doi:10.1109/mapr53640.2021.9585199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr53640.2021.9585199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","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/A5104008893","display_name":"Thu Quyen Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thu Quyen Nguyen","raw_affiliation_strings":["School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041814560","display_name":"Qu\u1ed1c Trung Ph\u1ea1m","orcid":"https://orcid.org/0000-0003-4197-3725"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Quoc Trung Pham","raw_affiliation_strings":["School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068755370","display_name":"Phuong Hoang","orcid":"https://orcid.org/0000-0003-2188-8021"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuong Chi Hoang","raw_affiliation_strings":["School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109524039","display_name":"Quang Hieu Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Quang Hieu Dang","raw_affiliation_strings":["School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082210240","display_name":"Duc Minh Nguyen","orcid":"https://orcid.org/0000-0003-2723-2912"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duc Minh Nguyen","raw_affiliation_strings":["School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073557573","display_name":"Huy Hoang Nguyen","orcid":"https://orcid.org/0000-0001-5354-4288"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Huy Hoang Nguyen","raw_affiliation_strings":["School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Ha Noi University of Science and Tecnology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.9153,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74551718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10581","display_name":"Neural dynamics and brain function","score":0.994700014591217,"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":0.6682651042938232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5432639122009277},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47002124786376953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4629529118537903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4136998951435089},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35029634833335876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682651042938232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5432639122009277},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47002124786376953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4629529118537903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4136998951435089},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35029634833335876}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mapr53640.2021.9585199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr53640.2021.9585199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1645800954","https://openalex.org/W1985940938","https://openalex.org/W2020676607","https://openalex.org/W2031798023","https://openalex.org/W2080982747","https://openalex.org/W2098328927","https://openalex.org/W2164653071","https://openalex.org/W2183631084","https://openalex.org/W2521023735","https://openalex.org/W2549653513","https://openalex.org/W2570343428","https://openalex.org/W2775079417","https://openalex.org/W2783525259","https://openalex.org/W2799049915","https://openalex.org/W2905533880","https://openalex.org/W2925208841","https://openalex.org/W2944906262","https://openalex.org/W2946000870","https://openalex.org/W2963743287","https://openalex.org/W2963887857","https://openalex.org/W2970338293","https://openalex.org/W2984276550","https://openalex.org/W3007867923","https://openalex.org/W3014034447","https://openalex.org/W3033465985","https://openalex.org/W3035000326","https://openalex.org/W3041928082","https://openalex.org/W3097217077","https://openalex.org/W3099350308","https://openalex.org/W3099451594","https://openalex.org/W3103016014","https://openalex.org/W3128633047","https://openalex.org/W3132764101","https://openalex.org/W3134784623","https://openalex.org/W3213073654","https://openalex.org/W6686394896","https://openalex.org/W6727033975","https://openalex.org/W6729407136","https://openalex.org/W6750266561","https://openalex.org/W6757041606","https://openalex.org/W6766330063","https://openalex.org/W6774680395","https://openalex.org/W6775876232","https://openalex.org/W6779534112","https://openalex.org/W6790428460","https://openalex.org/W6791778781"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Image":[0],"classification":[1],"is":[2,101,122,142,151],"always":[3],"an":[4,118,138],"interesting":[5],"problem":[6],"due":[7,38],"to":[8,39,76,166,190],"its":[9],"practical":[10],"applications":[11],"in":[12,62,144],"real":[13],"life.":[14],"With":[15],"a":[16,105,111],"capability":[17],"of":[18,55,79,133,186],"self-learning":[19],"features,":[20],"modern":[21],"Convolution":[22],"Neural":[23,70],"Network":[24,71],"(CNN)":[25],"models":[26,46],"can":[27],"achieve":[28],"high":[29,41],"accuracy":[30,185],"on":[31,126,194],"large":[32],"and":[33,53,64,162],"complex":[34],"benchmark":[35],"datasets.":[36],"However,":[37],"their":[40,60],"computation":[42],"costs,":[43],"the":[44,56,68,80,84,88,115,131,134,155,159,167,172,183,195],"CNN":[45,81,149,174],"experience":[47],"energy":[48],"consumption":[49],"problems":[50],"during":[51],"training":[52,140],"implementation":[54,125],"hardware":[57,127],"which":[58,121],"limits":[59],"utilisation":[61],"mobile":[63],"embedded":[65],"applications.":[66],"Recently,":[67],"Spiking":[69],"(SNN)":[72],"has":[73],"been":[74],"proposed":[75,143,148,173],"overcome":[77],"drawbacks":[78],"models.":[82],"Like":[83],"biological":[85],"nervous":[86],"system,":[87],"SNN\u2019s":[89],"neurons":[90],"communicate":[91],"with":[92,154],"each":[93],"other":[94],"by":[95],"sending":[96],"spike":[97,108],"trains.":[98],"A":[99,147],"neuron":[100],"only":[102],"calculated":[103],"when":[104,188],"new":[106],"input":[107],"arrives.":[109],"As":[110],"result,":[112],"it":[113],"turns":[114],"networks":[116],"into":[117],"energy-saving":[119],"mode":[120],"suitable":[123],"for":[124],"devices.":[128],"To":[129],"avoid":[130],"difficulty":[132],"SNN":[135,168,192],"direct":[136],"training,":[137],"indirect":[139],"approach":[141],"this":[145],"work.":[146],"model":[150,169,181],"firstly":[152],"trained":[153],"RMSprop":[156],"algorithm":[157],"then":[158],"optimised":[160],"weights":[161],"bias":[163],"are":[164],"mapped":[165],"converted":[170],"from":[171],"model.":[175],"Experimental":[176],"results":[177],"confirm":[178],"that":[179],"our":[180],"achieves":[182],"best":[184],"93.5%":[187],"compared":[189],"state-of-the-art":[191],"approaches":[193],"Fashion-":[196],"MNIST":[197],"dataset.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}