{"id":"https://openalex.org/W7160248694","doi":"https://doi.org/10.1109/wacv61042.2026.00117","title":"From Lightweight CNNs to SpikeNets: Benchmarking Accuracy\u2013Energy Tradeoffs with Pruned Spiking SqueezeNet","display_name":"From Lightweight CNNs to SpikeNets: Benchmarking Accuracy\u2013Energy Tradeoffs with Pruned Spiking SqueezeNet","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160248694","doi":"https://doi.org/10.1109/wacv61042.2026.00117"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5135305012","display_name":"Radib Bin Kabir","orcid":null},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Radib Bin Kabir","raw_affiliation_strings":["Islamic University of Technology,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Islamic University of Technology,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117109504","display_name":"Tawsif Tashwar Dipto","orcid":null},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Tawsif Tashwar Dipto","raw_affiliation_strings":["Islamic University of Technology,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Islamic University of Technology,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004401709","display_name":"Mehedi Ahamed","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mehedi Ahamed","raw_affiliation_strings":["Southeast University,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103350115","display_name":"S Sabbir Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sabbir Ahmed","raw_affiliation_strings":["Islamic University of Technology,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Islamic University of Technology,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125678694","display_name":"Md Hasanul Kabir","orcid":null},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Hasanul Kabir","raw_affiliation_strings":["Islamic University of Technology,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Islamic University of Technology,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.8645,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.98431809,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1137","last_page":"1146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.15629999339580536,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.15629999339580536,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.14720000326633453,"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":0.04540000110864639,"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/benchmarking","display_name":"Benchmarking","score":0.4677000045776367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36480000615119934},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.353300005197525},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3133000135421753},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2662999927997589},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.2614000141620636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6154999732971191},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4587000012397766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36250001192092896},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3000999987125397},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7092554569244385,"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":23,"referenced_works":["https://openalex.org/W1570411240","https://openalex.org/W1999085092","https://openalex.org/W2554302513","https://openalex.org/W2775079417","https://openalex.org/W2779025322","https://openalex.org/W2962851801","https://openalex.org/W2963125010","https://openalex.org/W2963918968","https://openalex.org/W2964338223","https://openalex.org/W2984844508","https://openalex.org/W2990793844","https://openalex.org/W3035644810","https://openalex.org/W3102750118","https://openalex.org/W4243890836","https://openalex.org/W4281697256","https://openalex.org/W4283749998","https://openalex.org/W4285366309","https://openalex.org/W4293363567","https://openalex.org/W4382459223","https://openalex.org/W4386921324","https://openalex.org/W4387409844","https://openalex.org/W4409357096","https://openalex.org/W4410742496"],"related_works":[],"abstract_inverted_index":{"Spiking":[0],"Neural":[1,12],"Networks":[2,13],"(SNNs)":[3],"are":[4,58],"increasingly":[5],"studied":[6],"as":[7,214],"energy-efficient":[8],"alternatives":[9,217],"to":[10,111,174,204],"Convolutional":[11],"(CNNs),":[14],"particularly":[15],"for":[16,218],"edge":[17,219],"intelligence.":[18],"However,":[19],"prior":[20],"work":[21,38],"has":[22],"largely":[23],"emphasized":[24],"large-scale":[25],"models,":[26],"leaving":[27],"the":[28,40,127,175,182,189,231],"design":[29],"and":[30,64,82,91,100,168],"evaluation":[31],"of":[32,44,78,130],"lightweight":[33,45,135,212],"CNN-to-SNN":[34],"pipelines":[35],"underexplored.":[36],"This":[37,160],"presents":[39],"first":[41],"systematic":[42],"benchmark":[43],"SNNs":[46,107,213],"obtained":[47],"by":[48,166,171],"converting":[49],"compact":[50],"CNN":[51,119,185],"architectures":[52],"into":[53],"spiking":[54,76],"networks,":[55],"where":[56],"activations":[57],"modeled":[59],"with":[60,85,184,196],"Leaky-Integrate-and-Fire":[61],"(LIF)":[62],"neurons":[63],"trained":[65],"using":[66],"surrogate":[67],"gradient":[68],"descent":[69],"under":[70],"a":[71,144,155,222],"unified":[72],"setup.":[73],"We":[74],"construct":[75],"variants":[77],"ShuffleNet,":[79],"SqueezeNet,":[80,186],"MnasNet,":[81],"MixNet,":[83],"along":[84],"evaluating":[86],"them":[87],"on":[88,230],"CIFAR-10,":[89],"CIFAR-100,":[90],"TinyImageNet":[92],"datasets-measuring":[93],"accuracy,":[94],"F1-score,":[95],"parameter":[96],"count,":[97],"computational":[98],"complexity,":[99],"energy":[101,115,201],"consumption.":[102],"Our":[103],"results":[104],"show":[105],"that":[106,148],"can":[108],"achieve":[109],"up":[110],"15.7":[112],"\u00d7":[113],"higher":[114],"efficiency":[116],"than":[117],"their":[118],"counterparts":[120],"while":[121],"retaining":[122],"competitive":[123],"accuracy.":[124],"Among":[125],"these,":[126],"SNN":[128,177],"variant":[129],"SqueezeNet":[131],"consistently":[132],"outperforms":[133],"other":[134],"SNNs.":[136],"To":[137],"further":[138],"optimize":[139],"this":[140],"model,":[141],"we":[142],"apply":[143],"structured":[145],"pruning":[146],"strategy":[147],"removes":[149],"entire":[150],"redundant":[151],"fire":[152],"modules,":[153],"yielding":[154],"pruned":[156,161],"architecture,":[157],"\u2018SNN":[158],"SqueezeNet-P\u2019.":[159],"model":[162],"improves":[163],"CIFAR-10":[164],"accuracy":[165,191],"6%":[167],"reduces":[169],"parameters":[170],"19%":[172],"compared":[173],"original":[176],"SqueezeNet.":[178],"Crucially,":[179],"it":[180],"narrows":[181],"gap":[183],"achieving":[187],"nearly":[188],"same":[190],"(only":[192],"1%":[193],"lower)":[194],"but":[195],"an":[197],"88.1%":[198],"reduction":[199],"in":[200],"consumption":[202],"due":[203],"sparse":[205],"spike-driven":[206],"computations.":[207],"Together,":[208],"these":[209],"findings":[210],"establish":[211],"practical,":[215],"low-power":[216,228],"deployment,":[220],"highlighting":[221],"viable":[223],"path":[224],"toward":[225],"deploying":[226],"high-performance,":[227],"intelligence":[229],"edge.":[232],"Code":[233],"available":[234],"at":[235],"GitHub:":[236],"Pruned-Spiking-SqueezeNet":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2026-05-06T00:00:00"}