{"id":"https://openalex.org/W4362666020","doi":"https://doi.org/10.3390/s23073777","title":"Simplification of Deep Neural Network-Based Object Detector for Real-Time Edge Computing","display_name":"Simplification of Deep Neural Network-Based Object Detector for Real-Time Edge Computing","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362666020","doi":"https://doi.org/10.3390/s23073777","pmid":"https://pubmed.ncbi.nlm.nih.gov/37050837"},"language":"en","primary_location":{"id":"doi:10.3390/s23073777","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073777","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3777/pdf?version=1680786110","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/7/3777/pdf?version=1680786110","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050864291","display_name":"Kyoungtaek Choi","orcid":"https://orcid.org/0000-0003-3104-1860"},"institutions":[{"id":"https://openalex.org/I39705031","display_name":"Daegu Catholic University","ror":"https://ror.org/04fxknd68","country_code":"KR","type":"education","lineage":["https://openalex.org/I39705031"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoungtaek Choi","raw_affiliation_strings":["Department of AI Automation Robot, Daegu Catholic University, 13-13 Hayang-ro, Hayang-eup, Gyeongsan-si 38430, Gyeongsangbuk-do, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of AI Automation Robot, Daegu Catholic University, 13-13 Hayang-ro, Hayang-eup, Gyeongsan-si 38430, Gyeongsangbuk-do, Republic of Korea","institution_ids":["https://openalex.org/I39705031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020292312","display_name":"Seong Min Wi","orcid":null},"institutions":[{"id":"https://openalex.org/I182937616","display_name":"Hyundai Mobis (South Korea)","ror":"https://ror.org/038b1qn73","country_code":"KR","type":"company","lineage":["https://openalex.org/I182937616","https://openalex.org/I197312522"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong Min Wi","raw_affiliation_strings":["Driving Image Recognition Logic Cell, Hyundai Mobis, 17-2 Mabuk-ro 240beon-gil, Giheung-gu, Yongin-si 16891, Gyeonggi-do, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Driving Image Recognition Logic Cell, Hyundai Mobis, 17-2 Mabuk-ro 240beon-gil, Giheung-gu, Yongin-si 16891, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I182937616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010342168","display_name":"Ho Gi Jung","orcid":"https://orcid.org/0000-0002-4169-4358"},"institutions":[{"id":"https://openalex.org/I119575151","display_name":"Korea National University of Transportation","ror":"https://ror.org/03qqbe534","country_code":"KR","type":"education","lineage":["https://openalex.org/I119575151"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ho Gi Jung","raw_affiliation_strings":["Department of Electronic Engineering, Korea National University of Transportation, 50 Daehak-ro, Chungju-si 27469, Chungbuk-do, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Korea National University of Transportation, 50 Daehak-ro, Chungju-si 27469, Chungbuk-do, Republic of Korea","institution_ids":["https://openalex.org/I119575151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061630477","display_name":"Jae Kyu Suhr","orcid":"https://orcid.org/0000-0003-4844-851X"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jae Kyu Suhr","raw_affiliation_strings":["Department of Intelligent Mechatronics Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Mechatronics Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061630477"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.0461,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88757977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"7","first_page":"3777","last_page":"3777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7847487926483154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7493815422058105},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6473056674003601},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6288896203041077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5836504697799683},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5390573740005493},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.538996696472168},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.508429229259491},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.493012398481369},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42923545837402344},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4255215525627136},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4119178056716919},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4088595509529114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3972253203392029},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3329387605190277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12865027785301208},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07179966568946838}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7847487926483154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7493815422058105},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6473056674003601},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6288896203041077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5836504697799683},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5390573740005493},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.538996696472168},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.508429229259491},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.493012398481369},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42923545837402344},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4255215525627136},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4119178056716919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4088595509529114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3972253203392029},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3329387605190277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12865027785301208},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07179966568946838},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23073777","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073777","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3777/pdf?version=1680786110","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37050837","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37050837","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10099208","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10099208","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10099208/pdf/sensors-23-03777.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:e6408471bba746ec82b0e0a94ad5984e","is_oa":true,"landing_page_url":"https://doaj.org/article/e6408471bba746ec82b0e0a94ad5984e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 7, p 3777 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/7/3777/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23073777","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 7; Pages: 3777","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23073777","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073777","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3777/pdf?version=1680786110","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3034753964","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G342704958","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3510917025","display_name":null,"funder_award_id":"2022R1","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5396177265","display_name":null,"funder_award_id":"2020R1A6A1A03038540","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G554036074","display_name":null,"funder_award_id":"2020R1A6A1A03038540","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6024700664","display_name":null,"funder_award_id":"2022R1F1A1074708","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362666020.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2109255472","https://openalex.org/W2194775991","https://openalex.org/W2570702650","https://openalex.org/W2593744649","https://openalex.org/W2606006859","https://openalex.org/W2785366763","https://openalex.org/W2899272034","https://openalex.org/W2917028965","https://openalex.org/W2944931747","https://openalex.org/W2962851801","https://openalex.org/W2963122961","https://openalex.org/W2963145730","https://openalex.org/W2963346150","https://openalex.org/W2963363373","https://openalex.org/W2963626527","https://openalex.org/W2963821229","https://openalex.org/W2963918968","https://openalex.org/W2964081807","https://openalex.org/W2964233199","https://openalex.org/W2981406437","https://openalex.org/W2996569511","https://openalex.org/W3008383986","https://openalex.org/W3034342078","https://openalex.org/W3034535818","https://openalex.org/W3034695001","https://openalex.org/W3035332806","https://openalex.org/W3035646933","https://openalex.org/W3038672259","https://openalex.org/W3042011474","https://openalex.org/W3095508601","https://openalex.org/W3103461182","https://openalex.org/W3119129845","https://openalex.org/W3137147200","https://openalex.org/W3138562265","https://openalex.org/W3159196909","https://openalex.org/W3161570989","https://openalex.org/W3173832704","https://openalex.org/W3176772026","https://openalex.org/W3184606595","https://openalex.org/W3215698464","https://openalex.org/W4220731687","https://openalex.org/W4287363917","https://openalex.org/W4293564567","https://openalex.org/W4306763059","https://openalex.org/W4308746152","https://openalex.org/W6780652162","https://openalex.org/W6790503700"],"related_works":["https://openalex.org/W2922421953","https://openalex.org/W3002270006","https://openalex.org/W2782964878","https://openalex.org/W2754428891","https://openalex.org/W4281560450","https://openalex.org/W1497101000","https://openalex.org/W2095705906","https://openalex.org/W2980691083","https://openalex.org/W3046346900","https://openalex.org/W2730449274"],"abstract_inverted_index":{"This":[0,103],"paper":[1,28,73,87,132],"presents":[2],"a":[3,9,20,37,157],"method":[4,78,137],"for":[5,32],"simplifying":[6],"and":[7,69,92],"quantizing":[8],"deep":[10],"neural":[11],"network":[12,25,84],"(DNN)-based":[13],"object":[14,143],"detector":[15,144],"to":[16,36],"embed":[17,140],"it":[18],"into":[19,145],"real-time":[21,158],"edge":[22,81,147],"device.":[23,82],"For":[24,83],"simplification,":[26],"this":[27,72,86,131],"compares":[29,88],"five":[30],"methods":[31],"applying":[33],"channel":[34],"pruning":[35],"residual":[38],"block":[39],"because":[40],"special":[41],"care":[42],"must":[43],"be":[44],"taken":[45],"regarding":[46],"the":[47,58,75,80,112,115,123,126,135,141],"number":[48],"of":[49,62,114,125],"channels":[50],"when":[51],"summing":[52],"two":[53,97],"feature":[54],"maps.":[55],"Based":[56],"on":[57,79],"comparison":[59,104],"in":[60,111,122],"terms":[61],"detection":[63,101],"performance,":[64],"parameter":[65],"number,":[66],"computational":[67],"complexity,":[68],"processing":[70],"time,":[71],"discovers":[74],"most":[76],"satisfying":[77],"quantization,":[85],"post-training":[89],"quantization":[90],"(PTQ)":[91],"quantization-aware":[93],"training":[94],"(QAT)":[95],"using":[96],"datasets":[98],"with":[99,150,160],"different":[100],"difficulties.":[102],"shows":[105,133],"that":[106,134],"both":[107],"approaches":[108],"are":[109],"recommended":[110],"case":[113,124],"easy-to-detect":[116],"dataset,":[117],"but":[118],"QAT":[119],"is":[120],"preferable":[121],"difficult-to-detect":[127],"dataset.":[128],"Through":[129],"experiments,":[130],"proposed":[136],"can":[138],"effectively":[139],"DNN-based":[142],"an":[146],"device":[148],"equipped":[149],"Qualcomm's":[151],"QCS605":[152],"System-on-Chip":[153],"(SoC),":[154],"while":[155],"achieving":[156],"operation":[159],"more":[161],"than":[162],"10":[163],"frames":[164],"per":[165],"second.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}