{"id":"https://openalex.org/W3117482716","doi":"https://doi.org/10.1145/3438872.3439072","title":"Reliability Evaluation Methods of Deep Learning Algorithm in Computer Vision","display_name":"Reliability Evaluation Methods of Deep Learning Algorithm in Computer Vision","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3117482716","doi":"https://doi.org/10.1145/3438872.3439072","mag":"3117482716"},"language":"en","primary_location":{"id":"doi:10.1145/3438872.3439072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3438872.3439072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100646754","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0003-3777-9495"},"institutions":[{"id":"https://openalex.org/I4210113818","display_name":"China Electronic Product Reliability and Environmental Test Institute","ror":"https://ror.org/01f4k3b46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Xu","raw_affiliation_strings":["China Electronic Products Reliability and Environmental, Testing Research Institute, Guangzhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electronic Products Reliability and Environmental, Testing Research Institute, Guangzhou China","institution_ids":["https://openalex.org/I4210113818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100778706","display_name":"Yan Gao","orcid":"https://orcid.org/0000-0002-6852-2038"},"institutions":[{"id":"https://openalex.org/I4210113818","display_name":"China Electronic Product Reliability and Environmental Test Institute","ror":"https://ror.org/01f4k3b46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Gao","raw_affiliation_strings":["China Electronic Products Reliability and Environmental, Testing Research Institute, Guangzhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electronic Products Reliability and Environmental, Testing Research Institute, Guangzhou China","institution_ids":["https://openalex.org/I4210113818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210113818"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"201","issue":null,"first_page":"140","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11357","display_name":"Risk and Safety Analysis","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.8204874396324158},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7838789224624634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7576894760131836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6119061708450317},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6024860143661499},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5609435439109802},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5045377016067505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07139119505882263}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8204874396324158},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7838789224624634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576894760131836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6119061708450317},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6024860143661499},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5609435439109802},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5045377016067505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07139119505882263},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3438872.3439072","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3438872.3439072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2909752169","https://openalex.org/W2915206464","https://openalex.org/W2919115771","https://openalex.org/W2963207607","https://openalex.org/W2963857521","https://openalex.org/W2964253222","https://openalex.org/W2981999847","https://openalex.org/W4365806382","https://openalex.org/W6600212071"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2317200988","https://openalex.org/W4375867731","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2611989081","https://openalex.org/W4380075502"],"abstract_inverted_index":{"With":[0],"the":[1,8,19,28,49,52,71],"rapid":[2],"development":[3],"of":[4,21,27,51,74],"deep":[5,12,29,60],"learning":[6,13,30,61],"technology,":[7],"application":[9],"based":[10],"on":[11],"shows":[14],"explosive":[15],"growth,":[16],"especially":[17],"in":[18,38],"field":[20],"computer":[22],"vision.":[23],"However,":[24],"some":[25],"characteristics":[26],"algorithm":[31,62],"make":[32],"it":[33],"face":[34],"many":[35],"unexpected":[36],"threats":[37],"actual":[39],"use.":[40],"It":[41],"has":[42],"become":[43],"an":[44],"urgent":[45],"problem":[46],"to":[47],"ensure":[48],"reliability":[50,63,82],"algorithm.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"propose":[58],"a":[59],"evaluation":[64,68,83],"system":[65],"and":[66,77],"corresponding":[67],"indicators":[69],"from":[70],"three":[72],"aspects":[73],"data,":[75],"model,":[76],"operating":[78],"framework,":[79],"then":[80],"describe":[81],"methods":[84],"for":[85],"each":[86],"specific":[87],"indicator.":[88]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
