{"id":"https://openalex.org/W3086161309","doi":"https://doi.org/10.3390/s20185269","title":"A Deep-Learning Model with Task-Specific Bounding Box Regressors and Conditional Back-Propagation for Moving Object Detection in ADAS Applications","display_name":"A Deep-Learning Model with Task-Specific Bounding Box Regressors and Conditional Back-Propagation for Moving Object Detection in ADAS Applications","publication_year":2020,"publication_date":"2020-09-15","ids":{"openalex":"https://openalex.org/W3086161309","doi":"https://doi.org/10.3390/s20185269","mag":"3086161309","pmid":"https://pubmed.ncbi.nlm.nih.gov/32942628"},"language":"en","primary_location":{"id":"doi:10.3390/s20185269","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185269","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5269/pdf?version=1600412229","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/1424-8220/20/18/5269/pdf?version=1600412229","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013459131","display_name":"Guan-Ting Lin","orcid":"https://orcid.org/0000-0001-9895-0060"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guan-Ting Lin","raw_affiliation_strings":["Department of Electronics Engineering and Institute of Electronics, National Chiao Tung University, Hsinchu 30010, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering and Institute of Electronics, National Chiao Tung University, Hsinchu 30010, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088625335","display_name":"Vinay Malligere Shivanna","orcid":"https://orcid.org/0000-0002-9434-5899"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Vinay Malligere Shivanna","raw_affiliation_strings":["Department of Electronics Engineering and Institute of Electronics, National Chiao Tung University, Hsinchu 30010, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering and Institute of Electronics, National Chiao Tung University, Hsinchu 30010, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022312926","display_name":"Jiun-In Guo","orcid":"https://orcid.org/0000-0003-0402-2621"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiun-In Guo","raw_affiliation_strings":["Department of Electronics Engineering and Institute of Electronics, National Chiao Tung University, Hsinchu 30010, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering and Institute of Electronics, National Chiao Tung University, Hsinchu 30010, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088625335"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6869,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.72321577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"18","first_page":"5269","last_page":"5269"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.8361057639122009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7385727763175964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.694598913192749},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6148069500923157},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5788915753364563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5658294558525085},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5448096394538879},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5273650288581848},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5220527648925781},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5079365372657776},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5022537708282471},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4922868311405182},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4518080949783325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42934340238571167},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42562830448150635},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.4253145456314087},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.41420310735702515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12997958064079285},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12078219652175903}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.8361057639122009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7385727763175964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.694598913192749},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6148069500923157},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5788915753364563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5658294558525085},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5448096394538879},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5273650288581848},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5220527648925781},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5079365372657776},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5022537708282471},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4922868311405182},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4518080949783325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42934340238571167},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42562830448150635},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.4253145456314087},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41420310735702515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12997958064079285},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12078219652175903},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20185269","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185269","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5269/pdf?version=1600412229","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:32942628","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32942628","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:doaj.org/article:6839ea7e051b44b8b3f63eda05f103f5","is_oa":true,"landing_page_url":"https://doaj.org/article/6839ea7e051b44b8b3f63eda05f103f5","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 18, p 5269 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/18/5269/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20185269","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 20; Issue 18; Pages: 5269","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7571112","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7571112","pdf_url":null,"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"}],"best_oa_location":{"id":"doi:10.3390/s20185269","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185269","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5269/pdf?version=1600412229","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/G2357152208","display_name":null,"funder_award_id":"408929","funder_id":"https://openalex.org/F4320308258","funder_display_name":"Qualcomm"},{"id":"https://openalex.org/G2884910486","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320322724","funder_display_name":"Ministry of Education, India"},{"id":"https://openalex.org/G4257482942","display_name":null,"funder_award_id":"MOST 108-3017-F-009-001","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7629115163","display_name":null,"funder_award_id":"MOST 109-2634-F-009-017","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3086161309.pdf","grobid_xml":"https://content.openalex.org/works/W3086161309.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W187321743","https://openalex.org/W318698504","https://openalex.org/W1483870316","https://openalex.org/W1487583988","https://openalex.org/W1536680647","https://openalex.org/W1544784425","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1958236864","https://openalex.org/W1961891967","https://openalex.org/W2037227137","https://openalex.org/W2096112371","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2128942651","https://openalex.org/W2130863892","https://openalex.org/W2151049637","https://openalex.org/W2155893237","https://openalex.org/W2158688659","https://openalex.org/W2159589665","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2288122362","https://openalex.org/W2395611524","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2743473392","https://openalex.org/W2763268728","https://openalex.org/W2766617181","https://openalex.org/W2884561390","https://openalex.org/W2952632681","https://openalex.org/W2962917547","https://openalex.org/W2963093690","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W3098722327","https://openalex.org/W3106250896","https://openalex.org/W4251485470","https://openalex.org/W6683547451","https://openalex.org/W6687483927","https://openalex.org/W6692286491"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,61,65,87,146,244,261],"deep-learning":[4],"model":[5,31,183,228],"with":[6,64,200],"task-specific":[7],"bounding":[8,129],"box":[9,130],"regressors":[10,131],"(TSBBRs)":[11],"and":[12,42,55,112,142,173,175,186,197,213,239,254],"conditional":[13,96],"back-propagation":[14,97],"mechanisms":[15],"for":[16,22,37,52,108,154,216],"detection":[17,35,50,80,160],"of":[18,39,81,86,102,116,126,139,149,161,164,205,220,264],"objects":[19,38,135,231],"in":[20,136],"motion":[21],"advanced":[23],"driver":[24],"assistance":[25],"system":[26],"(ADAS)":[27],"applications.":[28],"The":[29,124,181,226],"proposed":[30,45,182,227],"separates":[32],"the":[33,44,79,84,109,114,159,201,217],"object":[34,118,128],"networks":[36],"different":[40,100,117,189],"sizes":[41,119],"applies":[43],"algorithm":[46],"to":[47,72,104,157,176],"achieve":[48],"better":[49],"results":[51],"both":[53],"larger":[54,59,66,76],"tinier":[56,82],"objects.":[57],"For":[58,78],"objects,":[60,83],"neural":[62,150],"network":[63,85,151],"visual":[67],"receptive":[68,89],"field":[69,90],"is":[70,152],"used":[71],"acquire":[73],"information":[74],"from":[75],"areas.":[77],"smaller":[88],"utilizes":[91],"fine":[92],"grain":[93],"features.":[94],"A":[95],"mechanism":[98],"yields":[99],"types":[101,163],"TSBBRs":[103],"perform":[105],"data-driven":[106],"learning":[107],"set":[110],"criterion":[111],"learn":[113],"representation":[115],"without":[120],"degrading":[121],"each":[122,155],"other.":[123],"design":[125],"dual-path":[127],"can":[132,229],"simultaneously":[133],"detect":[134,230],"various":[137],"kinds":[138],"dissimilar":[140],"scales":[141],"aspect":[143],"ratios.":[144],"Only":[145],"single":[147],"inference":[148],"needed":[153],"frame":[156],"support":[158],"multiple":[162],"object,":[165],"such":[166,192],"as":[167,193,232,234],"bicycles,":[168],"motorbikes,":[169],"cars,":[170],"buses,":[171],"trucks,":[172],"pedestrians,":[174],"locate":[177],"their":[178],"exact":[179],"positions.":[180],"was":[184],"developed":[185],"implemented":[187],"on":[188,243,260],"NVIDIA":[190],"devices":[191],"1080":[194],"Ti,":[195],"DRIVE-PX2":[196],"Jetson":[198],"TX-2":[199],"respective":[202],"processing":[203],"performance":[204],"67":[206],"frames":[207],"per":[208],"second":[209],"(fps),":[210],"19.4":[211],"fps,":[212],"8.9":[214],"fps":[215],"video":[218],"input":[219],"448":[221,223],"\u00d7":[222,236],"resolution,":[224],"respectively.":[225],"small":[233],"13":[235,237],"pixels":[238],"achieves":[240],"86.54%":[241],"accuracy":[242],"publicly":[245],"available":[246],"Pascal":[247],"Visual":[248],"Object":[249],"Class":[250],"(VOC)":[251],"car":[252],"database":[253,269],"82.4%":[255],"mean":[256],"average":[257],"precision":[258],"(mAP)":[259],"large":[262],"collection":[263],"common":[265],"road":[266],"real":[267],"scenes":[268],"(iVS":[270],"database).":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}