{"id":"https://openalex.org/W4409156700","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10943036","title":"On the Robustness of Out-of-Distribution Detection Methods for Camera-based Systems","display_name":"On the Robustness of Out-of-Distribution Detection Methods for Camera-based Systems","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409156700","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10943036"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf60004.2024.10943036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10943036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","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/A5009523378","display_name":"H. J. Christian","orcid":"https://orcid.org/0000-0002-5766-5332"},"institutions":[{"id":"https://openalex.org/I4210123126","display_name":"Silicon Austria Labs (Austria)","ror":"https://ror.org/03b1qgn79","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210123126"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Christian Huber","raw_affiliation_strings":["Silicon Austria Labs GmbH, JKU LIT SAL eSPML Lab,Austria"],"affiliations":[{"raw_affiliation_string":"Silicon Austria Labs GmbH, JKU LIT SAL eSPML Lab,Austria","institution_ids":["https://openalex.org/I4210123126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053582419","display_name":"Bernhard Lehner","orcid":"https://orcid.org/0000-0002-7754-7042"},"institutions":[{"id":"https://openalex.org/I4210123126","display_name":"Silicon Austria Labs (Austria)","ror":"https://ror.org/03b1qgn79","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210123126"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Bernhard Lehner","raw_affiliation_strings":["Silicon Austria Labs GmbH, JKU LIT SAL eSPML Lab,Austria"],"affiliations":[{"raw_affiliation_string":"Silicon Austria Labs GmbH, JKU LIT SAL eSPML Lab,Austria","institution_ids":["https://openalex.org/I4210123126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102665686","display_name":"Claus Hofmann","orcid":null},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Claus Hofmann","raw_affiliation_strings":["Johannes Kepler University Linz,JKU LIT SAL eSPML Lab,Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz,JKU LIT SAL eSPML Lab,Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102709587","display_name":"Bernhard A. Moser","orcid":"https://orcid.org/0000-0003-1859-046X"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Bernhard Moser","raw_affiliation_strings":["Johannes Kepler University Linz,JKU LIT SAL eSPML Lab,Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz,JKU LIT SAL eSPML Lab,Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057408485","display_name":"Reinhard Feger","orcid":"https://orcid.org/0000-0001-7372-6230"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Reinhard Feger","raw_affiliation_strings":["Johannes Kepler University Linz,JKU LIT SAL eSPML Lab,Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz,JKU LIT SAL eSPML Lab,Austria","institution_ids":["https://openalex.org/I121883995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009523378"],"corresponding_institution_ids":["https://openalex.org/I4210123126"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16853379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9750000238418579,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9750000238418579,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9645000100135803,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9491999745368958,"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/robustness","display_name":"Robustness (evolution)","score":0.8617221117019653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6938749551773071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.500147819519043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4568638503551483}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8617221117019653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6938749551773071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.500147819519043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4568638503551483},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf60004.2024.10943036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10943036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2047643928","https://openalex.org/W2117539524","https://openalex.org/W2120499053","https://openalex.org/W2765424254","https://openalex.org/W3004301609","https://openalex.org/W3008269499","https://openalex.org/W6703116779","https://openalex.org/W6728622933","https://openalex.org/W6757615711","https://openalex.org/W6781636266","https://openalex.org/W6784323503","https://openalex.org/W6787972765","https://openalex.org/W6838776046","https://openalex.org/W6845991869","https://openalex.org/W6866158957"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Out-of-distribution":[0],"(OOD)":[1],"detection":[2,31,96],"refers":[3],"to":[4,21,56,103],"recognizing":[5],"instances":[6],"that":[7],"lie":[8],"outside":[9],"the":[10,36,46],"scope":[11],"of":[12,40,48,74],"what":[13],"a":[14],"machine":[15,41],"learning":[16,42],"model":[17],"has":[18],"been":[19],"exposed":[20],"during":[22],"training.":[23],"In":[24],"safetycritical":[25],"domains":[26],"like":[27],"autonomous":[28],"driving,":[29],"OOD":[30,49,95],"is":[32],"paramount":[33],"for":[34],"enhancing":[35],"reliability":[37],"and":[38,83],"safety":[39],"systems.":[43],"To":[44],"investigate":[45],"robustness":[47],"de-tection":[50],"methods,":[51],"we":[52],"conduct":[53],"experiments":[54],"tailored":[55],"camera-based":[57],"systems,":[58],"focusing":[59],"on":[60],"realistic":[61],"challenges":[62],"these":[63],"systems":[64],"may":[65],"encounter.":[66],"Our":[67],"experimental":[68],"setup":[69],"includes":[70],"benchmarking":[71],"various":[72],"types":[73],"corruption,":[75],"such":[76],"as":[77],"image":[78,104],"sensor":[79,105],"degradation,":[80],"lens":[81],"contamination":[82],"motion":[84],"blur.":[85],"The":[86],"findings":[87],"suggest":[88],"intrinsic":[89],"weaknesses":[90],"across":[91],"all":[92],"tested":[93],"state-of-the-art":[94],"methods.":[97],"Unexpectedly,":[98],"even":[99],"single-pixel":[100],"alterations":[101],"corresponding":[102],"degradation":[106],"over":[107],"time":[108],"can":[109],"result":[110],"in":[111,114],"notable":[112],"changes":[113],"performance.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
