{"id":"https://openalex.org/W7213645805","doi":"https://doi.org/10.5281/zenodo.22843874","title":"Lightweight Convolutional Architectures for On-Device Computer Vision Inference","display_name":"Lightweight Convolutional Architectures for On-Device Computer Vision Inference","publication_year":2023,"publication_date":"2023-02-24","ids":{"openalex":"https://openalex.org/W7213645805","doi":"https://doi.org/10.5281/zenodo.22843874"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.jisfc.com:article/53","doi":null,"is_oa":true,"landing_page_url":"https://jisfc.com/index.php/jisfc/article/view/53","pdf_url":"https://jisfc.com/index.php/jisfc/article/download/53/50","source":{"id":"https://openalex.org/S7407079808","display_name":"Journal of Intelligent Systems and Future Computing","issn_l":"3117-4698","issn":["3117-4698"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3117-4698","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://jisfc.com/index.php/jisfc/article/download/53/50","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037864665","display_name":"Pallavi Ramanathan","orcid":"https://orcid.org/0000-0001-5619-0278","observed_orcids":["https://orcid.org/0000-0001-5619-0278"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramanathan, Pallavi","raw_affiliation_strings":["Department of Robotics and Automation, Meenachil Institute of Distributed Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics and Automation, Meenachil Institute of Distributed Intelligence","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101041564","display_name":"Sundar Mahalingam","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahalingam, Sundar","raw_affiliation_strings":["Department of Robotics and Automation, Muvattupuzha Center for Computational Cognition"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics and Automation, Muvattupuzha Center for Computational Cognition","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5152184674","display_name":"Kavitha Vaidyanathan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vaidyanathan, Kavitha","raw_affiliation_strings":["Department of Information Technology, Chaliyar Institute of Quantum Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Chaliyar Institute of Quantum Computing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/depthwise-separable-convolution","display_name":"depthwise separable convolution","score":0.9549999833106995},{"id":"https://openalex.org/keywords/channel-shuffle","display_name":"channel shuffle","score":0.7509999871253967},{"id":"https://openalex.org/keywords/neural-architecture-search","display_name":"neural architecture search","score":0.9610000252723694},{"id":"https://openalex.org/keywords/mnasnet","display_name":"MnasNet","score":0.753000020980835},{"id":"https://openalex.org/keywords/mobilenetv3","display_name":"MobileNetV3","score":0.8059999942779541},{"id":"https://openalex.org/keywords/efficientnet","display_name":"EfficientNet","score":0.8140000104904175},{"id":"https://openalex.org/keywords/model-compression","display_name":"model compression","score":0.6729999780654907},{"id":"https://openalex.org/keywords/pruning","display_name":"pruning","score":0.8080000281333923},{"id":"https://openalex.org/keywords/quantization","display_name":"quantization","score":0.9739999771118164},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/structural-re-parameterization","display_name":"structural re-parameterization","score":0.9649999737739563},{"id":"https://openalex.org/keywords/repvgg","display_name":"RepVGG","score":0.9829999804496765},{"id":"https://openalex.org/keywords/mobilevit","display_name":"MobileViT","score":0.9860000014305115},{"id":"https://openalex.org/keywords/vision-transformer","display_name":"vision transformer","score":0.824999988079071},{"id":"https://openalex.org/keywords/embedded-hardware","display_name":"embedded hardware","score":0.5080000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753000259399414},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6093000173568726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889999866485596},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5734000205993652},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5551999807357788},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.40310001373291016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39820000529289246},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34549999237060547},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C31352089","wikidata":"https://www.wikidata.org/wiki/Q3750474","display_name":"Systems design","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2728999853134155},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.26019999384880066},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25429999828338623}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:ojs2.jisfc.com:article/53","doi":null,"is_oa":true,"landing_page_url":"https://jisfc.com/index.php/jisfc/article/view/53","pdf_url":"https://jisfc.com/index.php/jisfc/article/download/53/50","source":{"id":"https://openalex.org/S7407079808","display_name":"Journal of Intelligent Systems and Future Computing","issn_l":"3117-4698","issn":["3117-4698"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3117-4698","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.5281/zenodo.22843874","doi":"https://doi.org/10.5281/zenodo.22843874","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22843874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.22843875","doi":"https://doi.org/10.5281/zenodo.22843875","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22843875","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"pmh:oai:ojs2.jisfc.com:article/53","doi":null,"is_oa":true,"landing_page_url":"https://jisfc.com/index.php/jisfc/article/view/53","pdf_url":"https://jisfc.com/index.php/jisfc/article/download/53/50","source":{"id":"https://openalex.org/S7407079808","display_name":"Journal of Intelligent Systems and Future Computing","issn_l":"3117-4698","issn":["3117-4698"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3117-4698","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7213645805.pdf","grobid_xml":"https://content.openalex.org/works/W7213645805.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W2119144962","https://openalex.org/W2300242332","https://openalex.org/W2515385951","https://openalex.org/W2604319603","https://openalex.org/W2612445135","https://openalex.org/W2777406049","https://openalex.org/W2883780447","https://openalex.org/W2886953980","https://openalex.org/W2944779197","https://openalex.org/W2946948417","https://openalex.org/W2949650786","https://openalex.org/W2951583185","https://openalex.org/W2962851801","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2969797940","https://openalex.org/W3035414587","https://openalex.org/W3044604993","https://openalex.org/W3094502228","https://openalex.org/W3145444543","https://openalex.org/W3167976421","https://openalex.org/W3203105104","https://openalex.org/W3216221236","https://openalex.org/W4320036918","https://openalex.org/W4386076083","https://openalex.org/W4390874053","https://openalex.org/W4394670654"],"related_works":["https://openalex.org/W7151221869","https://openalex.org/W4200552471","https://openalex.org/W7124973370","https://openalex.org/W4402703046","https://openalex.org/W7219926051","https://openalex.org/W7153155350","https://openalex.org/W3031708374","https://openalex.org/W2612445135","https://openalex.org/W4416850784","https://openalex.org/W2981441179"],"abstract_inverted_index":{"On-device":[0],"computer":[1],"vision":[2,140,197],"now":[3],"depends":[4],"on":[5,85],"convolutional":[6,148],"architectures":[7,94],"deliberately":[8],"engineered":[9],"to":[10,102,133],"fit":[11],"within":[12],"the":[13,34,52,55,65,75,80,103,128,144,168,192],"memory,":[14],"latency,":[15],"and":[16,23,46,57,63,74,79,88,119,136,174,181],"power":[17],"budgets":[18],"of":[19,107,161,170,195],"phones,":[20],"embedded":[21],"boards,":[22],"microcontrollers,":[24],"rather":[25,157],"than":[26,158],"repurposed":[27],"from":[28,110],"server-scale":[29],"networks.":[30],"This":[31],"article":[32],"synthesizes":[33],"literature":[35,84,145],"that":[36,70,91],"produced":[37,71],"those":[38],"architectures:":[39],"depthwise":[40],"separable":[41],"convolutions,":[42],"popularized":[43],"by":[44,51,61],"Xception":[45],"operationalized":[47],"for":[48],"mobile":[49],"deployment":[50],"MobileNet":[53],"family;":[54,78],"channel-shuffle":[56],"inverted-residual-bottleneck":[58],"refinements":[59],"introduced":[60],"ShuffleNet":[62],"MobileNetV2;":[64],"platform-aware":[66],"neural":[67],"architecture":[68],"search":[69],"MnasNet,":[72],"MobileNetV3,":[73],"EfficientNet":[76],"compound-scaling":[77],"complementary,":[81],"largely":[82],"orthogonal":[83],"pruning,":[86],"quantization,":[87,173],"knowledge":[89],"distillation":[90],"compresses":[92],"these":[93],"further":[95],"once":[96],"trained.":[97],"We":[98],"give":[99],"particular":[100],"attention":[101],"most":[104],"recent":[105],"phase":[106],"this":[108],"work,":[109],"2021":[111],"onward,":[112],"in":[113],"which":[114],"structural":[115],"reparameterization":[116],"(RepVGG,":[117],"MobileOne)":[118],"hybrid":[120,188],"convolution-attention":[121],"designs":[122,189],"(MobileViT,":[123],"EdgeNeXt,":[124],"FastViT)":[125],"have":[126],"extended":[127],"same":[129],"efficiency-first":[130],"design":[131,149],"philosophy":[132],"compete":[134],"with,":[135],"selectively":[137],"borrow":[138],"from,":[139],"transformers.":[141],"Read":[142],"together,":[143],"supports":[146],"lightweight":[147],"as":[150],"a":[151,159],"cumulative,":[152],"empirically":[153],"validated":[154],"research":[155],"program":[156],"series":[160],"disconnected":[162],"tricks,":[163],"while":[164],"leaving":[165],"genuinely":[166],"open":[167],"questions":[169],"how":[171],"architecture,":[172],"target":[175],"hardware":[176],"should":[177],"be":[178],"jointly":[179],"optimized,":[180],"whether":[182],"pure":[183,185],"convolutional,":[184],"transformer,":[186],"or":[187],"will":[190],"dominate":[191],"next":[193],"generation":[194],"on-device":[196],"models.":[198]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-20T00:00:00"}