{"id":"https://openalex.org/W2970005955","doi":"https://doi.org/10.1109/icip.2019.8803651","title":"Patch-Level Regularizer for Convolutional Neural Network","display_name":"Patch-Level Regularizer for Convolutional Neural Network","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970005955","doi":"https://doi.org/10.1109/icip.2019.8803651","mag":"2970005955"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5010947615","display_name":"Dejiang Xu","orcid":"https://orcid.org/0000-0001-8108-3183"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dejiang Xu","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019988958","display_name":"Mong Li Lee","orcid":"https://orcid.org/0000-0002-9636-388X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mong Li Lee","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051209739","display_name":"Wynne Hsu","orcid":"https://orcid.org/0000-0002-4142-8893"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wynne Hsu","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.183,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49047556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7964226007461548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7456778883934021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4327297806739807}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7964226007461548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7456778883934021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4327297806739807}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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":50,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1849277567","https://openalex.org/W1936750108","https://openalex.org/W2081852578","https://openalex.org/W2095705004","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2137844145","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2302255633","https://openalex.org/W2531440880","https://openalex.org/W2549139847","https://openalex.org/W2593484309","https://openalex.org/W2604262106","https://openalex.org/W2619184049","https://openalex.org/W2746314669","https://openalex.org/W2747685395","https://openalex.org/W2787189300","https://openalex.org/W2963069632","https://openalex.org/W2963289251","https://openalex.org/W2963446712","https://openalex.org/W2963703360","https://openalex.org/W2964137095","https://openalex.org/W2998508940","https://openalex.org/W3037874813","https://openalex.org/W3118608800","https://openalex.org/W3137695714","https://openalex.org/W4299300709","https://openalex.org/W6638667902","https://openalex.org/W6639204139","https://openalex.org/W6674330103","https://openalex.org/W6676297131","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6698183232","https://openalex.org/W6713132643","https://openalex.org/W6725739302","https://openalex.org/W6728374919","https://openalex.org/W6729342207","https://openalex.org/W6738514645","https://openalex.org/W6743428213","https://openalex.org/W6743440100","https://openalex.org/W6745558287","https://openalex.org/W6746204344","https://openalex.org/W6748390811","https://openalex.org/W6763485134","https://openalex.org/W6780041708","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4293226380","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829"],"abstract_inverted_index":{"Over-fitting":[0],"is":[1,15],"a":[2,22,27],"common":[3],"issue":[4],"of":[5,58],"training":[6],"deep":[7],"convolutional":[8,28,80],"neural":[9,29,81],"network":[10,30,63],"especially":[11],"when":[12],"the":[13,62,67,79],"dataset":[14],"limited.":[16],"In":[17],"this":[18],"work,":[19],"we":[20],"propose":[21],"patch-level":[23],"regularizer":[24,54,73],"to":[25,31,46,61,64,78,83],"force":[26],"learn":[32,65],"many":[33],"sub-models":[34],"during":[35,41,70],"training,":[36],"and":[37,49],"aggregate":[38],"these":[39],"models":[40],"testing.":[42],"This":[43],"approach":[44],"proves":[45],"be":[47,75],"robust":[48],"noise":[50],"tolerant":[51],"as":[52],"our":[53],"exposes":[55],"small":[56],"patches":[57],"an":[59],"image":[60],"all":[66],"features":[68],"equally":[69],"training.":[71],"The":[72],"can":[74],"easily":[76],"applied":[77],"networks":[82],"further":[84],"improve":[85],"their":[86],"classification":[87],"performance.":[88],"Experiment":[89],"results":[90],"on":[91],"publicly":[92],"available":[93],"datasets":[94],"demonstrate":[95],"consistent":[96],"improvement":[97],"over":[98],"existing":[99],"regularizers.":[100]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}