{"id":"https://openalex.org/W4292596089","doi":"https://doi.org/10.1145/3557897","title":"Distill-DBDGAN: Knowledge Distillation and Adversarial Learning Framework for Defocus Blur Detection","display_name":"Distill-DBDGAN: Knowledge Distillation and Adversarial Learning Framework for Defocus Blur Detection","publication_year":2022,"publication_date":"2022-08-22","ids":{"openalex":"https://openalex.org/W4292596089","doi":"https://doi.org/10.1145/3557897"},"language":"en","primary_location":{"id":"doi:10.1145/3557897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557897","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5074936277","display_name":"Sankaraganesh Jonna","orcid":"https://orcid.org/0000-0003-4929-4516"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sankaraganesh Jonna","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0003-4929-4516","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047604630","display_name":"Moushumi Medhi","orcid":"https://orcid.org/0000-0001-9069-8833"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Moushumi Medhi","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0001-9069-8833","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067927122","display_name":"Rajiv R. Sahay","orcid":"https://orcid.org/0000-0003-0820-0616"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajiv Ranjan Sahay","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0003-0820-0616","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8123,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72932728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"19","issue":"2s","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.996999979019165,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9656999707221985,"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/computer-science","display_name":"Computer science","score":0.7580742835998535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7129558324813843},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5746577382087708},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5480194687843323},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48015540838241577},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4717598557472229},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4696998596191406},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.46475401520729065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45923006534576416},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.41757670044898987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1352802813053131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580742835998535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7129558324813843},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5746577382087708},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5480194687843323},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48015540838241577},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4717598557472229},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4696998596191406},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46475401520729065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45923006534576416},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.41757670044898987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1352802813053131},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3557897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557897","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2054203848","https://openalex.org/W2108598243","https://openalex.org/W2114785422","https://openalex.org/W2125389028","https://openalex.org/W2292934097","https://openalex.org/W2395965399","https://openalex.org/W2523565258","https://openalex.org/W2791383351","https://openalex.org/W2900756836","https://openalex.org/W2925753896","https://openalex.org/W2962765321","https://openalex.org/W2963163009","https://openalex.org/W2963420948","https://openalex.org/W2963981733","https://openalex.org/W3015304398","https://openalex.org/W3037925043","https://openalex.org/W3047791393","https://openalex.org/W3124083408","https://openalex.org/W3138614235","https://openalex.org/W3169396366","https://openalex.org/W3213224137","https://openalex.org/W4235375376","https://openalex.org/W4239147634","https://openalex.org/W4301206121","https://openalex.org/W6678815747"],"related_works":["https://openalex.org/W2357365693","https://openalex.org/W1550912305","https://openalex.org/W2032041146","https://openalex.org/W2337415362","https://openalex.org/W2141294180","https://openalex.org/W1489399123","https://openalex.org/W4312857205","https://openalex.org/W121273120","https://openalex.org/W2740820121","https://openalex.org/W2408846072"],"abstract_inverted_index":{"Defocus":[0],"blur":[1,49,56,125,156],"detection":[2,57],"(DBD)":[3],"aims":[4],"to":[5,46,141,170,182,197],"segment":[6],"the":[7,30,61,78,112,128,138,143,149,154,160,178,188,203,206,212,216,227,230,244],"blurred":[8,69,130],"regions":[9,98],"from":[10,86,99,127,177],"a":[11,20,39,42,118,183],"given":[12],"image":[13],"affected":[14],"by":[15,77,174],"defocus":[16,48,55],"blur.":[17],"It":[18],"is":[19,38],"crucial":[21],"pre-processing":[22],"step":[23],"for":[24,41],"various":[25],"computer":[26],"vision":[27],"tasks.":[28],"With":[29],"increasing":[31],"popularity":[32],"of":[33,63,215,229],"small":[34],"mobile":[35],"devices,":[36],"there":[37],"need":[40],"computationally":[43],"efficient":[44,54],"method":[45,58],"detect":[47],"accurately.":[50],"We":[51],"propose":[52],"an":[53,194],"that":[59,122],"estimates":[60],"probability":[62],"each":[64],"pixel":[65],"being":[66],"focused":[67,97],"or":[68],"in":[70,137,153,193,236],"resource-constraint":[71],"devices.":[72],"Despite":[73],"remarkable":[74],"advances":[75],"made":[76,248],"recent":[79],"deep":[80,120,139],"learning-based":[81],"methods,":[82],"they":[83],"still":[84],"suffer":[85],"several":[87],"challenges":[88],"such":[89],"as":[90],"background":[91],"clutter,":[92],"scale":[93,144],"sensitivity,":[94],"indistinguishable":[95],"low-contrast":[96],"out-of-focus":[100],"blur,":[101],"and":[102,107,146,205,243],"especially":[103],"high":[104],"computational":[105],"cost":[106],"memory":[108],"requirement.":[109],"To":[110,158],"address":[111],"first":[113],"three":[114],"challenges,":[115],"we":[116,133,164],"develop":[117],"novel":[119],"network":[121,140,181,232],"efficiently":[123],"detects":[124],"map":[126],"input":[129],"image.":[131],"Specifically,":[132],"integrate":[134],"multi-scale":[135],"features":[136],"resolve":[142],"ambiguities":[145],"simultaneously":[147],"modeled":[148],"non-local":[150],"structural":[151],"correlations":[152],"high-level":[155],"features.":[157],"handle":[159],"last":[161],"two":[162],"issues,":[163],"eventually":[165],"frame":[166],"our":[167,221],"DBD":[168,224],"algorithm":[169],"perform":[171],"knowledge":[172],"distillation":[173],"transferring":[175],"information":[176],"larger":[179,217],"teacher":[180,218,231],"compact":[184],"student":[185],"network.":[186],"All":[187],"networks":[189],"are":[190],"adversarially":[191],"trained":[192],"end-to-end":[195],"manner":[196],"enforce":[198],"higher":[199],"order":[200],"consistencies":[201],"between":[202],"output":[204,228],"target":[207],"distributions.":[208],"Experimental":[209],"results":[210,245],"demonstrate":[211],"state-of-the-art":[213],"performance":[214],"network,":[219],"while":[220],"proposed":[222],"lightweight":[223],"model":[225,241],"imitates":[226],"without":[233],"significant":[234],"loss":[235],"accuracy.":[237],"The":[238],"codes,":[239],"pre-trained":[240],"weights,":[242],"will":[246],"be":[247],"publicly":[249],"available.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}