{"id":"https://openalex.org/W3138614235","doi":"https://doi.org/10.1109/tip.2021.3065171","title":"Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection","display_name":"Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3138614235","doi":"https://doi.org/10.1109/tip.2021.3065171","mag":"3138614235","pmid":"https://pubmed.ncbi.nlm.nih.gov/33729938"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3065171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3065171","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":["crossref","pubmed"],"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/A5100753458","display_name":"Jinxing Li","orcid":"https://orcid.org/0000-0001-5156-0305"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinxing Li","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081068701","display_name":"Dandan Fan","orcid":"https://orcid.org/0000-0003-1168-5095"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Fan","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, China","Shenzhen Research Institute of Big Data, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113170134","display_name":"Lingxiao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingxiao Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745570","display_name":"Shuhang Gu","orcid":"https://orcid.org/0000-0002-1394-6642"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shuhang Gu","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, China","Shenzhen Research Institute of Big Data, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100753458"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.8672,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91389728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"3748","last_page":"3763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.8118306398391724},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7781029343605042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7426784038543701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7027280926704407},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6937941312789917},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5968104600906372},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5929101705551147},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5498268604278564},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5485596656799316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5406218767166138},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5140706300735474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.503264844417572},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4897453784942627},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.48690974712371826},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4474039375782013},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4318181872367859},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.43027639389038086},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22819077968597412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2238013744354248},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07140004634857178}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.8118306398391724},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7781029343605042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7426784038543701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7027280926704407},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6937941312789917},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5968104600906372},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5929101705551147},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5498268604278564},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5485596656799316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5406218767166138},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5140706300735474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.503264844417572},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4897453784942627},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.48690974712371826},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4474039375782013},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4318181872367859},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.43027639389038086},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22819077968597412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2238013744354248},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07140004634857178},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3065171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3065171","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:33729938","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33729938","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G333909914","display_name":null,"funder_award_id":"61906162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3647486603","display_name":null,"funder_award_id":"2020TQ0319","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4538061035","display_name":null,"funder_award_id":"2019M662198","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4687219212","display_name":null,"funder_award_id":"2019TQ0316","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8331515873","display_name":null,"funder_award_id":"2020M682034","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1885185971","https://openalex.org/W1916731006","https://openalex.org/W1966253962","https://openalex.org/W2021276667","https://openalex.org/W2039240409","https://openalex.org/W2039495738","https://openalex.org/W2046155154","https://openalex.org/W2054203848","https://openalex.org/W2061042245","https://openalex.org/W2089192201","https://openalex.org/W2097558986","https://openalex.org/W2100470808","https://openalex.org/W2104564430","https://openalex.org/W2117539524","https://openalex.org/W2131297486","https://openalex.org/W2132083787","https://openalex.org/W2133665775","https://openalex.org/W2133957619","https://openalex.org/W2140266075","https://openalex.org/W2151931211","https://openalex.org/W2153663612","https://openalex.org/W2161238905","https://openalex.org/W2292934097","https://openalex.org/W2294215176","https://openalex.org/W2508457857","https://openalex.org/W2523565258","https://openalex.org/W2537300680","https://openalex.org/W2560311620","https://openalex.org/W2562637781","https://openalex.org/W2572745118","https://openalex.org/W2604933682","https://openalex.org/W2736613185","https://openalex.org/W2754124012","https://openalex.org/W2776097932","https://openalex.org/W2780861787","https://openalex.org/W2798807298","https://openalex.org/W2799247888","https://openalex.org/W2884555738","https://openalex.org/W2899771611","https://openalex.org/W2908061658","https://openalex.org/W2925753896","https://openalex.org/W2948988617","https://openalex.org/W2954432404","https://openalex.org/W2961348656","https://openalex.org/W2962835968","https://openalex.org/W2962872526","https://openalex.org/W2963073614","https://openalex.org/W2963393555","https://openalex.org/W2963553337","https://openalex.org/W2963676366","https://openalex.org/W2963819848","https://openalex.org/W2963868681","https://openalex.org/W2997475996","https://openalex.org/W2998054657","https://openalex.org/W3010335025","https://openalex.org/W3015304398","https://openalex.org/W3047791393","https://openalex.org/W4231972595","https://openalex.org/W6637373629","https://openalex.org/W6681053624","https://openalex.org/W6683812499","https://openalex.org/W6728736666","https://openalex.org/W6731615698","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2047973478","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008"],"abstract_inverted_index":{"Defocus":[0],"blur":[1],"detection":[2],"(DBD),":[3],"which":[4,63,80,131],"has":[5],"been":[6],"widely":[7],"applied":[8,33],"to":[9,13,34,72,96,108,153,180,185],"various":[10],"fields,":[11],"aims":[12],"detect":[14],"the":[15,25,28,38,43,66,69,73,99,128,156,182,187,204],"out-of-focus":[16,78],"or":[17],"in-focus":[18,70,76],"pixels":[19],"from":[20,68,123,141,172],"a":[21,53,115,149,161,173,198],"single":[22],"image.":[23],"Despite":[24],"fact":[26],"that":[27,215],"deep":[29],"learning":[30,127],"based":[31,41],"methods":[32,62],"DBD":[35],"have":[36],"outperformed":[37],"hand-crafted":[39],"feature":[40,139],"methods,":[42],"performance":[44],"cannot":[45],"still":[46],"meet":[47],"our":[48,216],"requirement.":[49],"In":[50],"this":[51],"paper,":[52],"novel":[54],"network":[55],"is":[56,117,178],"established":[57],"for":[58],"DBD.":[59],"Unlike":[60],"existing":[61],"only":[64,168],"learn":[65],"projection":[67],"part":[71],"ground-truth,":[74],"both":[75],"and":[77,83,103,206],"pixels,":[79,105],"are":[81,86,94,145],"completely":[82],"symmetrically":[84],"complementary,":[85],"taken":[87],"into":[88],"account.":[89],"Specifically,":[90],"two":[91,143],"symmetric":[92],"branches":[93,144],"designed":[95],"jointly":[97],"estimate":[98,181],"probability":[100],"of":[101,166],"focus":[102],"defocus":[104],"respectively.":[106],"Due":[107],"their":[109],"complementary":[110,162],"constraint,":[111],"each":[112,176],"layer":[113,177,195],"in":[114,135,191],"branch":[116],"affected":[118],"by":[119,160,197],"an":[120],"attention":[121],"obtained":[122],"another":[124],"branch,":[125],"effectively":[126],"detailed":[129],"information":[130],"may":[132],"be":[133],"ignored":[134],"one":[136,169],"branch.":[137],"The":[138],"maps":[140],"these":[142],"then":[146],"passed":[147],"through":[148],"unique":[150],"fusion":[151],"block":[152],"simultaneously":[154],"get":[155],"two-channel":[157],"output":[158],"measured":[159],"loss.":[163],"Additionally,":[164],"instead":[165],"estimating":[167],"binary":[170,188],"map":[171,189],"specific":[174],"layer,":[175],"encouraged":[179],"ground":[183],"truth":[184],"guide":[186],"estimation":[190],"its":[192],"linked":[193],"shallower":[194],"followed":[196],"top-to-bottom":[199],"combination":[200],"strategy,":[201],"gradually":[202],"exploiting":[203],"global":[205],"local":[207],"information.":[208],"Experimental":[209],"results":[210],"on":[211],"released":[212],"datasets":[213],"demonstrate":[214],"proposed":[217],"method":[218],"remarkably":[219],"outperforms":[220],"state-of-the-art":[221],"algorithms.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
