{"id":"https://openalex.org/W3186759331","doi":"https://doi.org/10.1109/tip.2021.3132827","title":"Locality-Aware Channel-Wise Dropout for Occluded Face Recognition","display_name":"Locality-Aware Channel-Wise Dropout for Occluded Face Recognition","publication_year":2021,"publication_date":"2021-12-10","ids":{"openalex":"https://openalex.org/W3186759331","doi":"https://doi.org/10.1109/tip.2021.3132827","mag":"3186759331","pmid":"https://pubmed.ncbi.nlm.nih.gov/34890329"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3132827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3132827","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2107.09270","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mingjie He","orcid":"https://orcid.org/0000-0002-2168-8276"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie He","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2168-8276","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-8899-3996"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8899-3996","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Shan","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China","Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8348-392X","affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210097554"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["Tomorrow Advancing Life Education Group (TAL), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tomorrow Advancing Life Education Group (TAL), Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhongqin Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongqin Wu","raw_affiliation_strings":["Tomorrow Advancing Life Education Group (TAL), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tomorrow Advancing Life Education Group (TAL), Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Xilin Chen","orcid":"https://orcid.org/0000-0003-3024-4404"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilin Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3024-4404","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4527,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.82077617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"788","last_page":"798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9513000249862671,"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/T11448","display_name":"Face recognition and analysis","score":0.9513000249862671,"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":0.010900000110268593,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.007699999958276749,"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":0.6951000094413757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6011999845504761},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5303000211715698},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47029998898506165},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4499000012874603},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42910000681877136},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.41780000925064087},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.3776000142097473}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7979999780654907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182999849319458},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6951000094413757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6011999845504761},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5303000211715698},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48730000853538513},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47029998898506165},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3776000142097473},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2888000011444092},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2572000026702881},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.2572000026702881},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.25380000472068787}],"mesh":[{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2021.3132827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3132827","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:34890329","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34890329","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2107.09270","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.09270","pdf_url":"https://arxiv.org/pdf/2107.09270","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2107.09270","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.09270","pdf_url":"https://arxiv.org/pdf/2107.09270","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1301767876","display_name":null,"funder_award_id":"2017SHZDZX01","funder_id":"https://openalex.org/F4320311779","funder_display_name":"Shanghai Association for Science and Technology"},{"id":"https://openalex.org/G3527238504","display_name":null,"funder_award_id":"61806188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5706702056","display_name":null,"funder_award_id":"61976219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8055637958","display_name":null,"funder_award_id":"2017YFA0700800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320311779","display_name":"Shanghai Association for Science and Technology","ror":"https://ror.org/05j0k2q54"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1508870533","https://openalex.org/W1510982829","https://openalex.org/W1949778830","https://openalex.org/W1970400653","https://openalex.org/W1984926403","https://openalex.org/W1997201895","https://openalex.org/W2024922353","https://openalex.org/W2052503369","https://openalex.org/W2073575766","https://openalex.org/W2076647582","https://openalex.org/W2096733369","https://openalex.org/W2099471712","https://openalex.org/W2109685970","https://openalex.org/W2129812935","https://openalex.org/W2136860609","https://openalex.org/W2145287260","https://openalex.org/W2145526234","https://openalex.org/W2145962650","https://openalex.org/W2158054868","https://openalex.org/W2325939864","https://openalex.org/W2515770085","https://openalex.org/W2520774990","https://openalex.org/W2560473673","https://openalex.org/W2561743383","https://openalex.org/W2565575913","https://openalex.org/W2611104282","https://openalex.org/W2617561348","https://openalex.org/W2725151104","https://openalex.org/W2736633948","https://openalex.org/W2737608545","https://openalex.org/W2738588019","https://openalex.org/W2752782242","https://openalex.org/W2778195589","https://openalex.org/W2781292787","https://openalex.org/W2790299973","https://openalex.org/W2871667416","https://openalex.org/W2892321090","https://openalex.org/W2905016238","https://openalex.org/W2955488837","https://openalex.org/W2957574374","https://openalex.org/W2961224374","https://openalex.org/W2962827684","https://openalex.org/W2962898354","https://openalex.org/W2962926870","https://openalex.org/W2963420272","https://openalex.org/W2963466847","https://openalex.org/W2963545688","https://openalex.org/W2963671154","https://openalex.org/W2964023530","https://openalex.org/W2964213755","https://openalex.org/W2969985801","https://openalex.org/W2981408674","https://openalex.org/W2984006054","https://openalex.org/W2987654099","https://openalex.org/W2989282534","https://openalex.org/W2998469040","https://openalex.org/W3003720578","https://openalex.org/W3035376925","https://openalex.org/W3035503446","https://openalex.org/W3035693354","https://openalex.org/W3093367965","https://openalex.org/W6610687998","https://openalex.org/W6637320534","https://openalex.org/W6681239517","https://openalex.org/W6713134421","https://openalex.org/W6743428213","https://openalex.org/W6751593755","https://openalex.org/W6754484989"],"related_works":[],"abstract_inverted_index":{"Face":[0],"recognition":[1],"remains":[2],"a":[3,32,44,75,81,92,105,135,174,204],"challenging":[4],"task":[5],"in":[6,96],"unconstrained":[7],"scenarios,":[8],"especially":[9],"when":[10],"faces":[11],"are":[12,39],"partially":[13],"occluded.":[14],"To":[15],"improve":[16],"the":[17,22,60,68,71,89,122,149,180,185,197],"robustness":[18,160],"against":[19,161],"occlusion,":[20],"augmenting":[21],"training":[23],"images":[24],"with":[25,203],"artificial":[26,37],"occlusions":[27,38,131],"has":[28],"been":[29],"proved":[30],"as":[31],"useful":[33],"approach.":[34],"However,":[35],"these":[36],"commonly":[40],"generated":[41],"by":[42,132,154,172],"adding":[43],"black":[45],"rectangle":[46],"or":[47],"several":[48],"object":[49],"templates":[50],"including":[51],"sunglasses,":[52],"scarfs":[53],"and":[54,83,117],"phones,":[55],"which":[56,183],"cannot":[57],"well":[58],"simulate":[59,130],"realistic":[61],"occlusions.":[62],"In":[63,163],"this":[64],"paper,":[65],"based":[66],"on":[67,192],"argument":[69],"that":[70,196],"occlusion":[72],"essentially":[73],"damages":[74],"group":[76,93],"of":[77,91,94,187],"neurons,":[78],"we":[79,102,165],"propose":[80],"novel":[82],"elegant":[84],"occlusion-simulation":[85],"method":[86,199],"via":[87],"dropping":[88,133],"activations":[90],"neurons":[95],"some":[97],"elaborately":[98],"selected":[99],"channel.":[100],"Specifically,":[101],"first":[103],"employ":[104],"spatial":[106,169],"regularization":[107],"to":[108,113,115,129,147,158,178],"encourage":[109,143],"each":[110],"feature":[111,137,151,181],"channel":[112],"respond":[114],"local":[116],"different":[118],"face":[119],"regions.":[120,189],"Then,":[121],"locality-aware":[123],"channel-wise":[124,175],"dropout":[125],"(LCD)":[126],"is":[127],"designed":[128],"out":[134],"few":[136],"channels.":[138],"The":[139],"proposed":[140,198],"LCD":[141],"can":[142],"its":[144],"succeeding":[145],"layers":[146],"minimize":[148],"intra-class":[150],"variance":[152],"caused":[153],"occlusions,":[155],"thus":[156],"leading":[157],"improved":[159],"occlusion.":[162],"addition,":[164],"design":[166],"an":[167],"auxiliary":[168],"attention":[170,176],"module":[171],"learning":[173],"vector":[177],"reweight":[179],"channels,":[182],"improves":[184],"contributions":[186],"non-occluded":[188],"Extensive":[190],"experiments":[191],"various":[193],"benchmarks":[194],"show":[195],"outperforms":[200],"state-of-the-art":[201],"methods":[202],"remarkable":[205],"improvement.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2021-08-02T00:00:00"}
