{"id":"https://openalex.org/W4400970075","doi":"https://doi.org/10.1587/transinf.2024edp7016","title":"Degraded Image Classification using Knowledge Distillation and Robust Data Augmentations","display_name":"Degraded Image Classification using Knowledge Distillation and Robust Data Augmentations","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4400970075","doi":"https://doi.org/10.1587/transinf.2024edp7016"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2024edp7016","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edp7016","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1587/transinf.2024edp7016","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049656720","display_name":"Dinesh Daultani","orcid":"https://orcid.org/0000-0001-8469-2347"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dinesh DAULTANI","raw_affiliation_strings":["Department of Systems and Control Engineering, Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Control Engineering, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040292386","display_name":"Masayuki Tanaka","orcid":"https://orcid.org/0000-0002-5756-1904"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki TANAKA","raw_affiliation_strings":["Department of Systems and Control Engineering, Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Control Engineering, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024453747","display_name":"Masatoshi Okutomi","orcid":"https://orcid.org/0000-0001-5787-0742"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi OKUTOMI","raw_affiliation_strings":["Department of Systems and Control Engineering, Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Control Engineering, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113304006","display_name":"Kazuki ENDO","orcid":null},"institutions":[{"id":"https://openalex.org/I131632401","display_name":"Teikyo Heisei University","ror":"https://ror.org/034zkkc78","country_code":"JP","type":"education","lineage":["https://openalex.org/I131632401"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki ENDO","raw_affiliation_strings":["Department of Business, Teikyo Heisei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business, Teikyo Heisei University","institution_ids":["https://openalex.org/I131632401"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.10010467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E107.D","issue":"12","first_page":"1517","last_page":"1528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.7689999938011169,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.7689999938011169,"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/T10320","display_name":"Neural Networks and Applications","score":0.7656000256538391,"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/T12676","display_name":"Machine Learning and ELM","score":0.7249000072479248,"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/computer-science","display_name":"Computer science","score":0.8800208568572998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6161561608314514},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6101590394973755},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.608213484287262},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48765552043914795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45230865478515625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4394177198410034},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39717531204223633},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.360379159450531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8800208568572998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161561608314514},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6101590394973755},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.608213484287262},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48765552043914795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45230865478515625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4394177198410034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39717531204223633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.360379159450531},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1587/transinf.2024edp7016","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edp7016","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00897:0006564920","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100929086","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2024edp7016","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edp7016","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2117539524","https://openalex.org/W2134576786","https://openalex.org/W2194775991","https://openalex.org/W2602572945","https://openalex.org/W2746314669","https://openalex.org/W2887311010","https://openalex.org/W2903105043","https://openalex.org/W2949736877","https://openalex.org/W2962971773","https://openalex.org/W2970971581","https://openalex.org/W2976292222","https://openalex.org/W2985321619","https://openalex.org/W2992308087","https://openalex.org/W2998508940","https://openalex.org/W3035682985","https://openalex.org/W3035711009","https://openalex.org/W3040318838","https://openalex.org/W3049728628","https://openalex.org/W3088981614","https://openalex.org/W3089816516","https://openalex.org/W3104369000","https://openalex.org/W3105335547","https://openalex.org/W3107127161","https://openalex.org/W3111404230","https://openalex.org/W3112027556","https://openalex.org/W3120894151","https://openalex.org/W3166908170","https://openalex.org/W3195025636","https://openalex.org/W4224884895","https://openalex.org/W4287120221","https://openalex.org/W4295312788","https://openalex.org/W4295727797","https://openalex.org/W4300124531","https://openalex.org/W4307001672","https://openalex.org/W4316813646","https://openalex.org/W4386076012","https://openalex.org/W4394843753"],"related_works":["https://openalex.org/W3026162553","https://openalex.org/W2768175398","https://openalex.org/W2344382886","https://openalex.org/W19111321","https://openalex.org/W2412887479","https://openalex.org/W32245304","https://openalex.org/W2953684491","https://openalex.org/W4285338581","https://openalex.org/W2015158429","https://openalex.org/W2080290893"],"abstract_inverted_index":{"Image":[0],"classification":[1,19,64,125],"is":[2],"a":[3],"typical":[4],"computer":[5],"vision":[6],"task":[7],"widely":[8],"used":[9,15],"in":[10,44],"practical":[11],"applications.":[12],"The":[13],"images":[14,36,43],"for":[16,107,123],"training":[17],"image":[18,27],"networks":[20,32],"are":[21],"often":[22],"clean,":[23],"i.e.,":[24],"without":[25],"any":[26],"degradation.":[28],"However,":[29],"Convolutional":[30],"neural":[31],"trained":[33],"on":[34,39],"clean":[35],"perform":[37],"poorly":[38],"degraded":[40,67,127],"or":[41],"corrupted":[42],"the":[45,63,83,101,113,116,120,124],"real":[46],"world.":[47],"In":[48],"this":[49],"study,":[50],"we":[51,81,90,95],"effectively":[52],"utilize":[53],"robust":[54,72],"data":[55,73],"augmentation":[56],"(DA)":[57],"with":[58],"knowledge":[59,92,121],"distillation":[60],"to":[61],"improve":[62],"performance":[65],"of":[66,86,115,126],"images.":[68,128],"We":[69],"first":[70],"categorize":[71],"augmentations":[74],"into":[75],"geometric-and-color":[76,108],"and":[77,103,109],"cut-and-delete":[78,87,110],"DAs.":[79],"Next,":[80],"evaluate":[82],"effectual":[84],"positioning":[85],"DA":[88,111],"when":[89],"apply":[91],"distillation.":[93],"Moreover,":[94],"also":[96],"experimentally":[97],"demonstrate":[98],"that":[99],"combining":[100],"RandAugment":[102],"Random":[104],"Erasing":[105],"approach":[106],"improves":[112],"generalization":[114],"student":[117],"network":[118],"during":[119],"transfer":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
