{"id":"https://openalex.org/W4391183563","doi":"https://doi.org/10.1109/asicon58565.2023.10396271","title":"A High-Performance YOLOV5 Accelerator for Object Detection with Near Sensor Intelligence","display_name":"A High-Performance YOLOV5 Accelerator for Object Detection with Near Sensor Intelligence","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4391183563","doi":"https://doi.org/10.1109/asicon58565.2023.10396271"},"language":"en","primary_location":{"id":"doi:10.1109/asicon58565.2023.10396271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon58565.2023.10396271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","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/A5013369811","display_name":"Jiacheng Cao","orcid":"https://orcid.org/0009-0001-3135-4990"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiacheng Cao","raw_affiliation_strings":["Fudan University,School of Microelectronics,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Microelectronics,Shanghai,China,200433","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101576400","display_name":"Ziyi Yang","orcid":"https://orcid.org/0000-0002-1372-9672"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Yang","raw_affiliation_strings":["Fudan University,School of Microelectronics,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Microelectronics,Shanghai,China,200433","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103197085","display_name":"Jie Lu","orcid":"https://orcid.org/0000-0002-6982-2294"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lu","raw_affiliation_strings":["Fudan University,School of Information Science and Technology,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Information Science and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081419061","display_name":"Jinmei Lai","orcid":"https://orcid.org/0009-0003-5238-4720"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmei Lai","raw_affiliation_strings":["Fudan University,School of Microelectronics,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Microelectronics,Shanghai,China,200433","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013369811"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"],"apc_list":null,"apc_paid":null,"fwci":0.9839,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78768077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9962000250816345,"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":0.9962000250816345,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9908000230789185,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9889000058174133,"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/computer-science","display_name":"Computer science","score":0.6764581203460693},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6053348183631897},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4348800778388977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40503156185150146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.15104001760482788}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6764581203460693},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6053348183631897},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4348800778388977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40503156185150146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.15104001760482788}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon58565.2023.10396271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon58565.2023.10396271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2565639579","https://openalex.org/W2965289829","https://openalex.org/W3153288312","https://openalex.org/W4200147248","https://openalex.org/W4286750520","https://openalex.org/W4308238071","https://openalex.org/W4313492261","https://openalex.org/W4360585155","https://openalex.org/W4367016481","https://openalex.org/W4377968359"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2975200075","https://openalex.org/W4312842780","https://openalex.org/W2883677709","https://openalex.org/W2922421953","https://openalex.org/W4292830139"],"abstract_inverted_index":{"Object":[0],"detection":[1,16],"is":[2,40,123,143],"widely":[3],"used":[4],"in":[5],"fields":[6],"such":[7],"as":[8],"intelligent":[9],"surveillance":[10],"and":[11,36,58,91,100,113,125,135],"autonomous":[12],"driving.":[13],"Currently,":[14],"object":[15],"algorithms":[17,35],"based":[18,74],"on":[19,45,75,83,148],"convolutional":[20],"neural":[21],"networks":[22],"have":[23,56],"achieved":[24],"significant":[25],"performance":[26],"improvements.":[27],"However,":[28],"due":[29],"to":[30,42,49,64,152],"the":[31,34,60,76,84,89,95,106,109,117,121],"complexity":[32],"of":[33,94,120,131],"computational":[37],"constraints,":[38],"it":[39,142],"challenging":[41],"deploy":[43],"them":[44],"edge":[46,149],"computing":[47,150],"platforms":[48,151],"achieve":[50,153],"near":[51,154],"sensor":[52,155],"intelligence.":[53,156],"Therefore,":[54,141],"we":[55],"optimized":[57],"quantized":[59],"lightweight":[61],"Yolov5s":[62],"model":[63],"obtain":[65],"a":[66,71],"hardware-friendly":[67],"Q-Yolov5s.":[68],"We":[69],"propose":[70],"high-performance":[72],"accelerator":[73,96,122],"hybrid":[77],"streaming":[78],"architecture.":[79],"The":[80],"experimental":[81],"results":[82],"AX7350":[85],"FPGA":[86],"show":[87],"that":[88,130],"throughput":[90],"energy":[92,118],"efficiency":[93,119],"are":[97,111],"10.80":[98],"GOPs":[99],"78.62":[101],"Pixels/mJ,":[102],"respectively.":[103,115,140],"Compared":[104],"with":[105],"existing":[107],"work,":[108],"increases":[110],"85.25%":[112],"35.41%,":[114],"And":[116],"2.0":[124],"2.2":[126],"times":[127],"higher":[128],"than":[129],"Intel":[132],"i7-12700":[133],"CPU":[134],"NVDIA":[136],"RTX":[137],"3070":[138],"GPU,":[139],"more":[144],"suitable":[145],"for":[146],"deploying":[147]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}