{"id":"https://openalex.org/W4382541791","doi":"https://doi.org/10.1109/prime58259.2023.10161894","title":"ERODE: Error Resilient Object DetEction by Recovering Bounding Box and Class Information","display_name":"ERODE: Error Resilient Object DetEction by Recovering Bounding Box and Class Information","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4382541791","doi":"https://doi.org/10.1109/prime58259.2023.10161894"},"language":"en","primary_location":{"id":"doi:10.1109/prime58259.2023.10161894","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/prime58259.2023.10161894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)","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/A5083288487","display_name":"Emanuele Valpreda","orcid":"https://orcid.org/0000-0002-1285-9360"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Valpreda","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Italy","Department of Electronics and Telecommunications, Politecnico di Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Department of Electronics and Telecommunications, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032103517","display_name":"Giuseppe Palumbo","orcid":"https://orcid.org/0000-0003-0829-9118"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]},{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Palumbo","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Italy","ST Microelectronics, Italy","Department of Electronics and Telecommunications, Politecnico di Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"ST Microelectronics, Italy","institution_ids":["https://openalex.org/I4210154781"]},{"raw_affiliation_string":"Department of Electronics and Telecommunications, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013253742","display_name":"Michele Caon","orcid":"https://orcid.org/0009-0009-4446-8389"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Caon","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Italy","Department of Electronics and Telecommunications, Politecnico di Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Department of Electronics and Telecommunications, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074150684","display_name":"Guido Masera","orcid":"https://orcid.org/0000-0003-2238-9443"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Masera","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Italy","Department of Electronics and Telecommunications, Politecnico di Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Department of Electronics and Telecommunications, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026016005","display_name":"Maurizio Martina","orcid":"https://orcid.org/0000-0002-3069-0319"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Martina","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Italy","Department of Electronics and Telecommunications, Politecnico di Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Department of Electronics and Telecommunications, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0609389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"280"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9977999925613403,"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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7918297052383423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6773771047592163},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.670732319355011},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6685041785240173},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.561915934085846},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4812904894351959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42069512605667114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.407939076423645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25346219539642334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1887558400630951}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7918297052383423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773771047592163},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.670732319355011},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6685041785240173},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.561915934085846},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4812904894351959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42069512605667114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.407939076423645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25346219539642334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1887558400630951}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/prime58259.2023.10161894","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/prime58259.2023.10161894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2074659302","https://openalex.org/W2145251738","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2625267941","https://openalex.org/W2766984662","https://openalex.org/W2913841731","https://openalex.org/W2947050565","https://openalex.org/W2977809570","https://openalex.org/W3017746288","https://openalex.org/W3034971973","https://openalex.org/W3105084904","https://openalex.org/W3213454114","https://openalex.org/W4200129393","https://openalex.org/W6691241951","https://openalex.org/W6696672603","https://openalex.org/W6776320331"],"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":{"Fault":[0],"resilience":[1],"in":[2,8,24,122,166],"computer":[3],"vision":[4],"algorithms":[5,38],"is":[6],"paramount":[7],"critical":[9],"applications":[10],"such":[11],"as":[12],"autonomous":[13],"driving":[14],"or":[15],"surveillance.":[16],"Convolutional":[17],"neural":[18],"networks":[19],"(CNNs)":[20],"are":[21,33],"usually":[22],"used":[23,40],"these":[25],"tasks":[26],"to":[27,35,41,49,76,114,133,161],"identify":[28],"objects":[29],"of":[30,92,129,140],"interest,":[31],"which":[32],"passed":[34],"other":[36],"decisional":[37],"and":[39,84,105,111,138,144,151,157],"take":[42],"specific":[43],"actions.":[44],"However,":[45],"incorrect":[46],"detections":[47,79],"due":[48],"computation":[50,117],"errors":[51,83,118,164],"could":[52],"pose":[53],"a":[54,67,74,126],"safety":[55],"risk.":[56],"In":[57,131],"this":[58],"work,":[59],"we":[60],"present":[61],"ERODE":[62,146,187],"(Error":[63],"Resilient":[64],"Object":[65],"DetEction),":[66],"framework":[68,97],"that":[69,123,186],"can":[70,188],"be":[71],"paired":[72],"with":[73,143,163],"CNN":[75,106,142],"filter":[77],"the":[78,86,90,93,99,135,141,154,167,171,190],"by":[80,183],"identifying":[81],"possible":[82],"restoring":[85],"correct":[87],"predictions,":[88],"improving":[89],"fault-resilience":[91],"system.":[94],"The":[95,173],"proposed":[96],"leverages":[98],"temporal":[100],"correlation":[101],"among":[102],"consecutive":[103],"images":[104],"outputs,":[107],"using":[108,153],"motion":[109],"estimation":[110],"tracking":[112],"techniques":[113],"infer":[115],"whether":[116],"have":[119,148],"occurred":[120],"and,":[121],"case,":[124],"produce":[125],"new":[127],"set":[128],"outputs.":[130],"order":[132],"evaluate":[134],"performance,":[136],"precision":[137],"recall":[139],"without":[145],"support":[147],"been":[149],"computed":[150,169],"compared":[152],"MOT17DET":[155],"dataset,":[156],"EfficientDet":[158],"DO":[159],"quantized":[160],"16-bit,":[162],"injected":[165],"activations":[168],"during":[170],"inference.":[172],"experimental":[174],"results":[175],"show":[176],"significantly":[177],"reduced":[178],"task":[179],"accuracy":[180],"degradation":[181],"induced":[182],"bit-flips,":[184],"proving":[185],"increase":[189],"system\u2019s":[191],"fault":[192],"resilience.":[193]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
