{"id":"https://openalex.org/W4392904447","doi":"https://doi.org/10.1109/icassp48485.2024.10447639","title":"FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images","display_name":"FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904447","doi":"https://doi.org/10.1109/icassp48485.2024.10447639"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5007161861","display_name":"Elena Camuffo","orcid":"https://orcid.org/0000-0002-8351-4650"},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]},{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["GB","IT"],"is_corresponding":true,"raw_author_name":"Elena Camuffo","raw_affiliation_strings":["Samsung Research UK","University of Padova"],"affiliations":[{"raw_affiliation_string":"Samsung Research UK","institution_ids":["https://openalex.org/I4210117523"]},{"raw_affiliation_string":"University of Padova","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075734012","display_name":"Umberto Michieli","orcid":"https://orcid.org/0000-0003-2666-4342"},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Umberto Michieli","raw_affiliation_strings":["Samsung Research UK"],"affiliations":[{"raw_affiliation_string":"Samsung Research UK","institution_ids":["https://openalex.org/I4210117523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072414837","display_name":"Jijoong Moon","orcid":"https://orcid.org/0000-0003-0888-2143"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jijoong Moon","raw_affiliation_strings":["Samsung Research Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Research Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374565","display_name":"Daehyun Kim","orcid":"https://orcid.org/0000-0001-9233-2747"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daehyun Kim","raw_affiliation_strings":["Samsung Research Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Research Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054882290","display_name":"Mete \u00d6zay","orcid":"https://orcid.org/0000-0002-7189-7260"},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mete Ozay","raw_affiliation_strings":["Samsung Research UK"],"affiliations":[{"raw_affiliation_string":"Samsung Research UK","institution_ids":["https://openalex.org/I4210117523"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007161861"],"corresponding_institution_ids":["https://openalex.org/I138689650","https://openalex.org/I4210117523"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61510675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2795","last_page":"2799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.814810037612915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7191013097763062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6050978302955627},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5291643142700195},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5017333030700684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49779295921325684},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4770709276199341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43900078535079956},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.41253525018692017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3572930693626404},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.18330702185630798}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.814810037612915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191013097763062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050978302955627},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5291643142700195},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5017333030700684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49779295921325684},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4770709276199341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43900078535079956},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.41253525018692017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3572930693626404},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.18330702185630798},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/icassp48485.2024.10447639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2061171222","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2949736877","https://openalex.org/W3037492894","https://openalex.org/W3116074996","https://openalex.org/W3118608800","https://openalex.org/W3184424762","https://openalex.org/W3193940683","https://openalex.org/W4226088109","https://openalex.org/W4235169531","https://openalex.org/W4288335398","https://openalex.org/W4295189569","https://openalex.org/W4312354055","https://openalex.org/W4312648479","https://openalex.org/W4312761717","https://openalex.org/W4321381231","https://openalex.org/W4390874516","https://openalex.org/W6741768038","https://openalex.org/W6757555829","https://openalex.org/W6758857762","https://openalex.org/W6763136721","https://openalex.org/W6770979763","https://openalex.org/W6780666095","https://openalex.org/W6784333009","https://openalex.org/W6786141402","https://openalex.org/W6803414501","https://openalex.org/W6803813760","https://openalex.org/W6811250682","https://openalex.org/W6849855045"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828","https://openalex.org/W1996690921","https://openalex.org/W4360615883"],"abstract_inverted_index":{"Improving":[0],"model":[1],"robustness":[2,44],"in":[3],"case":[4],"of":[5,33,45,94],"corrupted":[6,52],"images":[7],"is":[8,29],"among":[9],"the":[10,34,74],"key":[11],"challenges":[12],"to":[13,42,60,88],"enable":[14],"robust":[15,26],"vision":[16],"systems":[17],"on":[18,50,84,97],"smart":[19],"devices,":[20],"such":[21],"as":[22],"robotic":[23],"agents.":[24],"Particularly,":[25],"test-time":[27],"performance":[28],"imperative":[30],"for":[31,77],"most":[32],"applications.":[35],"This":[36],"paper":[37],"presents":[38],"a":[39],"novel":[40],"approach":[41],"improve":[43],"any":[46],"classification":[47],"model,":[48],"especially":[49],"severely":[51],"images.":[53],"Our":[54],"method":[55],"(FROST)":[56],"employs":[57],"high-frequency":[58],"features":[59],"detect":[61],"input":[62],"image":[63],"corruption":[64],"type,":[65],"and":[66,80],"select":[67],"layer-wise":[68],"feature":[69],"normalization":[70],"statistics.":[71],"FROST":[72],"provides":[73],"state-of-the-art":[75],"results":[76],"different":[78],"models":[79],"datasets,":[81],"outperforming":[82],"competitors":[83],"ImageNet-C":[85],"by":[86],"up":[87],"37.1%":[89],"relative":[90],"gain,":[91],"improving":[92],"baseline":[93],"40.9%":[95],"mCE":[96],"severe":[98],"corruptions.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
