{"id":"https://openalex.org/W4220890517","doi":"https://doi.org/10.1109/tgrs.2022.3161499","title":"Algorithm/Hardware Codesign for Real-Time On-Satellite CNN-Based Ship Detection in SAR Imagery","display_name":"Algorithm/Hardware Codesign for Real-Time On-Satellite CNN-Based Ship Detection in SAR Imagery","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4220890517","doi":"https://doi.org/10.1109/tgrs.2022.3161499"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3161499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3161499","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100611279","display_name":"Geng Yang","orcid":"https://orcid.org/0000-0001-6921-1007"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Geng Yang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007285444","display_name":"Jie Lei","orcid":"https://orcid.org/0000-0003-0851-6565"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lei","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052163069","display_name":"Weiying Xie","orcid":"https://orcid.org/0000-0001-8310-024X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiying Xie","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065889904","display_name":"Zhenman Fang","orcid":"https://orcid.org/0000-0003-0603-9697"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhenman Fang","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067798266","display_name":"Yunsong Li","orcid":"https://orcid.org/0000-0002-0640-4060"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsong Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621285","display_name":"Jiaxuan Wang","orcid":"https://orcid.org/0000-0002-9311-1513"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxuan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056955447","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0002-6455-047X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100611279"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":22.3074,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.99185903,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8689077496528625},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7260740995407104},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6650320887565613},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6152689456939697},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.60236656665802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5764504671096802},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4905361533164978},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45760345458984375},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.45335498452186584},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41216617822647095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4100642204284668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39845696091651917},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3721468448638916},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.345603346824646},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.29121291637420654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2598300576210022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8689077496528625},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7260740995407104},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6650320887565613},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6152689456939697},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.60236656665802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5764504671096802},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4905361533164978},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45760345458984375},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.45335498452186584},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41216617822647095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4100642204284668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39845696091651917},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3721468448638916},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.345603346824646},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.29121291637420654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2598300576210022},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3161499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3161499","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1147426558","display_name":null,"funder_award_id":"JB180104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1595715893","display_name":null,"funder_award_id":"B08038","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G4131587450","display_name":null,"funder_award_id":"61571345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4507359911","display_name":null,"funder_award_id":"61502367","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5657849150","display_name":null,"funder_award_id":"91538101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5820774447","display_name":null,"funder_award_id":"2019T120878","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6225060912","display_name":null,"funder_award_id":"2019JQ153","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G7389467270","display_name":null,"funder_award_id":"2017M620440","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7594473715","display_name":null,"funder_award_id":"61801359","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7959909921","display_name":null,"funder_award_id":"6207010444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8047820913","display_name":null,"funder_award_id":"2016JQ6018","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G8211657739","display_name":null,"funder_award_id":"2016JQ6023","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G841248577","display_name":null,"funder_award_id":"61501346","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8508741111","display_name":null,"funder_award_id":"62071360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1968632379","https://openalex.org/W2002555321","https://openalex.org/W2012615666","https://openalex.org/W2089588733","https://openalex.org/W2090991102","https://openalex.org/W2094756095","https://openalex.org/W2115015615","https://openalex.org/W2123311577","https://openalex.org/W2144158572","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2469490737","https://openalex.org/W2548877857","https://openalex.org/W2565125333","https://openalex.org/W2565639579","https://openalex.org/W2565960758","https://openalex.org/W2593173044","https://openalex.org/W2770644646","https://openalex.org/W2774244034","https://openalex.org/W2775555200","https://openalex.org/W2782570667","https://openalex.org/W2798405286","https://openalex.org/W2798603777","https://openalex.org/W2799646862","https://openalex.org/W2805839151","https://openalex.org/W2889700044","https://openalex.org/W2891946740","https://openalex.org/W2896983500","https://openalex.org/W2899644485","https://openalex.org/W2899771611","https://openalex.org/W2899915146","https://openalex.org/W2913527107","https://openalex.org/W2919011445","https://openalex.org/W2928870406","https://openalex.org/W2942150053","https://openalex.org/W2946589087","https://openalex.org/W2961699889","https://openalex.org/W2963037989","https://openalex.org/W2963163009","https://openalex.org/W2974412363","https://openalex.org/W3008730548","https://openalex.org/W3032837604","https://openalex.org/W3034513523","https://openalex.org/W3038948729","https://openalex.org/W3091969046","https://openalex.org/W3094653930","https://openalex.org/W3112948415","https://openalex.org/W3119312984","https://openalex.org/W3137209321","https://openalex.org/W3168317852","https://openalex.org/W3184737818","https://openalex.org/W3199909291","https://openalex.org/W3206301673","https://openalex.org/W4297775537","https://openalex.org/W6620707391","https://openalex.org/W6695314431","https://openalex.org/W6720242923","https://openalex.org/W6737664043","https://openalex.org/W6748153271","https://openalex.org/W6767525790","https://openalex.org/W6782414788"],"related_works":["https://openalex.org/W2982947611","https://openalex.org/W4311401716","https://openalex.org/W3036934147","https://openalex.org/W3080162487","https://openalex.org/W4312789810","https://openalex.org/W3175108991","https://openalex.org/W4308443504","https://openalex.org/W2784396512","https://openalex.org/W4286512593","https://openalex.org/W2090093270"],"abstract_inverted_index":{"Recently,":[0],"the":[1,46,79,89,128,148,152,160,163,173,177,192,208,211,261,266,292,315,323,329,337,346,351,368],"convolutional":[2],"neural":[3],"network":[4],"(CNN)-based":[5],"approach":[6],"for":[7,55,95,143,155,350],"on-satellite":[8,97,130],"ship":[9,100,341],"detection":[10,37,42,153,193,342,362],"in":[11,35,71,78,133,151,187,279,301],"synthetic":[12],"aperture":[13],"radar":[14],"(SAR)":[15],"images":[16],"has":[17],"received":[18],"increasing":[19],"attention":[20],"since":[21],"it":[22,354],"does":[23],"not":[24],"rely":[25],"on":[26,125,336,367],"predefined":[27],"imagery":[28],"features":[29],"and":[30,108,112,166,169,232,244,248,263,286,320,333],"distributions":[31],"that":[32,121],"are":[33],"required":[34],"conventional":[36],"methods.":[38],"To":[39,146,190,222],"achieve":[40,223],"high":[41],"accuracy,":[43],"most":[44],"of":[45,210,265,274,317,348,359,364],"existing":[47],"CNN-based":[48,98],"methods":[49],"leverage":[50],"complex":[51],"off-the-shelf":[52],"CNN":[53,110,141,212,277,294],"models":[54,335],"optical":[56,144,167],"imagery.":[57,145,189],"Unfortunately,":[58],"this":[59,84,224],"usually":[60],"leads":[61],"to":[62,69,171,181,197,259,313],"expensive":[63],"computational":[64],"cost,":[65],"which":[66,102,236],"is":[67,237],"hard":[68],"process":[70],"real":[72],"time":[73],"using":[74,218,328],"resource-constrained":[75],"devices":[76],"deployed":[77,124],"harsh":[80],"satellite":[81],"environment.":[82],"In":[83],"article,":[85],"we":[86,135,158,195,226,270,290],"propose":[87,170,196,228],"OSCAR-RT,":[88],"first":[90,227],"end-to-end":[91],"algorithm/hardware":[92],"codesign":[93],"framework":[94],"real-time":[96,129],"SAR":[99,156,164,188,340],"detection,":[101],"can":[103,122,214],"simultaneously":[104],"produce":[105],"an":[106,113,356],"accurate":[107],"hardware-friendly":[109],"model":[111,142,174,213,295],"ultraefficient":[114],"field-programmable":[115],"gate":[116],"array":[117],"(FPGA)-based":[118],"hardware":[119,242,267,298],"accelerator":[120,204,268],"be":[123,215],"satellites.":[126],"With":[127],"processing":[131],"speed":[132,363],"mind,":[134],"start":[136],"from":[137],"a":[138,199,229,272,302,361],"state-of-the-art":[139,246],"compact":[140],"eliminate":[147],"sharp":[149],"decrease":[150],"accuracy":[154],"imagery,":[157],"analyze":[159],"discrepancy":[161],"between":[162],"domain":[165,168],"adapt":[172],"by":[175,239,308],"adjusting":[176,309],"output":[178],"feature":[179],"size":[180],"better":[182],"detect":[183],"relatively":[184],"smaller":[185],"objects":[186],"improve":[191,260],"speed,":[194],"develop":[198,271],"fully":[200,303],"pipelined":[201,304],"interlayer":[202,305],"streaming":[203,306],"architecture,":[205,225],"where":[206],"all":[207],"layers":[209],"concurrently":[216],"processed":[217],"on-chip":[219],"FPGA":[220,371],"resources.":[221],"hardware-guided,":[230],"progressive,":[231],"structural":[233],"pruning":[234,251],"strategy,":[235],"guided":[238],"our":[240],"modeled":[241],"metrics":[243],"applies":[245],"coarse-grained":[247],"fine-grained":[249],"filter":[250],"as":[252,254],"well":[253],"mixed-precision":[255],"quantization":[256],"techniques.":[257],"Moreover,":[258],"reusability":[262],"portability":[264],"design,":[269],"library":[273,299],"highly":[275],"optimized":[276],"components":[278,300],"high-level":[280],"synthesis,":[281],"together":[282],"with":[283],"their":[284,310],"performance":[285],"resource":[287,324],"models.":[288],"Finally,":[289],"map":[291],"pruned":[293],"onto":[296],"these":[297],"fashion,":[307],"parallelism":[311],"factors":[312],"balance":[314],"execution":[316],"each":[318],"layer":[319],"fit":[321],"into":[322],"constraint.":[325],"Experimental":[326],"results":[327],"adapted":[330],"MobileNetV1,":[331],"MobileNetV2,":[332],"SqueezeNet":[334],"widely":[338],"used":[339],"dataset":[343],"(SSDD)":[344],"demonstrate":[345],"effectiveness":[347],"OSCAR-RT;":[349],"MobileNetV1":[352],"model,":[353],"achieves":[355],"average":[357],"precision":[358],"94%,":[360],"652":[365],"frames/s":[366],"Xilinx":[369],"VC709":[370],"evaluation":[372],"board":[373],"while":[374],"consuming":[375],"about":[376],"5.8-W":[377],"power.":[378]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}