{"id":"https://openalex.org/W3134397751","doi":"https://doi.org/10.1109/tip.2021.3064195","title":"Blind Image Quality Assessment With Active Inference","display_name":"Blind Image Quality Assessment With Active Inference","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3134397751","doi":"https://doi.org/10.1109/tip.2021.3064195","mag":"3134397751","pmid":"https://pubmed.ncbi.nlm.nih.gov/33705313"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3064195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3064195","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/A5112614945","display_name":"Jupo Ma","orcid":"https://orcid.org/0009-0009-3631-7177"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jupo Ma","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074780876","display_name":"Jinjian Wu","orcid":"https://orcid.org/0000-0001-7501-0009"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjian Wu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033615240","display_name":"Leida Li","orcid":"https://orcid.org/0000-0001-9069-8796"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leida Li","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037310802","display_name":"Weisheng Dong","orcid":"https://orcid.org/0000-0002-9632-985X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Dong","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458706","display_name":"Xuemei Xie","orcid":"https://orcid.org/0000-0001-7857-0845"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Xie","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403129","display_name":"Weisi Lin","orcid":"https://orcid.org/0000-0001-9866-1947"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weisi Lin","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5112614945"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":7.6545,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.98131402,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"3650","last_page":"3663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9961000084877014,"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/T11019","display_name":"Image Enhancement Techniques","score":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.7400252223014832},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6542221307754517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.649527370929718},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6162139177322388},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5091895461082458},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5059015154838562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4968555271625519},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4756569266319275},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4175889790058136},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4114445447921753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3672831654548645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33160829544067383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400252223014832},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6542221307754517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.649527370929718},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6162139177322388},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5091895461082458},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5059015154838562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4968555271625519},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4756569266319275},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4175889790058136},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4114445447921753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3672831654548645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33160829544067383},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3064195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3064195","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:33705313","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33705313","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":[{"score":0.5,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1006664453","display_name":null,"funder_award_id":"62022063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6316269671","display_name":null,"funder_award_id":"61772388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6862244890","display_name":null,"funder_award_id":"61632019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1964215855","https://openalex.org/W1973175507","https://openalex.org/W1977246677","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1985560945","https://openalex.org/W1987489060","https://openalex.org/W2051596736","https://openalex.org/W2063360098","https://openalex.org/W2068403421","https://openalex.org/W2099471712","https://openalex.org/W2102166818","https://openalex.org/W2110290736","https://openalex.org/W2129644086","https://openalex.org/W2132003317","https://openalex.org/W2133665775","https://openalex.org/W2147008239","https://openalex.org/W2148764920","https://openalex.org/W2148848374","https://openalex.org/W2158546915","https://openalex.org/W2161907179","https://openalex.org/W2162692770","https://openalex.org/W2168023013","https://openalex.org/W2171349048","https://openalex.org/W2295949027","https://openalex.org/W2430408220","https://openalex.org/W2473697052","https://openalex.org/W2509409836","https://openalex.org/W2518824170","https://openalex.org/W2546855109","https://openalex.org/W2556068545","https://openalex.org/W2563786098","https://openalex.org/W2564196066","https://openalex.org/W2566149141","https://openalex.org/W2613701849","https://openalex.org/W2620678416","https://openalex.org/W2734989964","https://openalex.org/W2767836774","https://openalex.org/W2768340063","https://openalex.org/W2791891703","https://openalex.org/W2794680924","https://openalex.org/W2797079651","https://openalex.org/W2807793257","https://openalex.org/W2891645170","https://openalex.org/W2896261175","https://openalex.org/W2903193781","https://openalex.org/W2905544033","https://openalex.org/W2909303017","https://openalex.org/W2923841363","https://openalex.org/W2953590133","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963312584","https://openalex.org/W2963470893","https://openalex.org/W2963596827","https://openalex.org/W2963796134","https://openalex.org/W2963918210","https://openalex.org/W2963975576","https://openalex.org/W2963996760","https://openalex.org/W2964065910","https://openalex.org/W2964201867","https://openalex.org/W2971622202","https://openalex.org/W2972144487","https://openalex.org/W2974662103","https://openalex.org/W2992544855","https://openalex.org/W3014019158","https://openalex.org/W3092842438","https://openalex.org/W3100404621","https://openalex.org/W3100498948","https://openalex.org/W3102865173","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6647225686","https://openalex.org/W6667535573","https://openalex.org/W6684791271","https://openalex.org/W6729689515","https://openalex.org/W6732249622","https://openalex.org/W6735913928","https://openalex.org/W6746766910","https://openalex.org/W6760433908","https://openalex.org/W6779669310","https://openalex.org/W6784187150"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W3086365953","https://openalex.org/W4226072953","https://openalex.org/W2392606101"],"abstract_inverted_index":{"Blind":[0],"image":[1,49,113,126,155],"quality":[2,114,127,176,196],"assessment":[3],"(BIQA)":[4],"is":[5,12,83,115,128],"a":[6,13,59,169,179],"useful":[7],"but":[8],"challenging":[9],"task.":[10],"It":[11],"promising":[14],"idea":[15],"to":[16,85,131,149],"design":[17],"BIQA":[18,61],"methods":[19],"by":[20,54,63],"mimicking":[21,64],"the":[22,37,41,65,78,87,92,96,109,112,118,125,135,139,144,150,153,160,182,185,190,194,200],"working":[23],"mechanism":[24,33],"of":[25,47,69,120,184],"human":[26],"visual":[27],"system":[28],"(HVS).":[29],"The":[30],"internal":[31],"generative":[32,79],"(IGM)":[34],"indicates":[35],"that":[36],"HVS":[38],"actively":[39],"infers":[40],"primary":[42,88,122,158,186],"content":[43,145,187],"(i.e.,":[44,99],"meaningful":[45],"information)":[46],"an":[48,72],"for":[50],"better":[51],"understanding.":[52],"Inspired":[53],"that,":[55],"this":[56],"paper":[57],"presents":[58],"novel":[60],"metric":[62],"active":[66,73,191],"inference":[67,74,192],"process":[68],"IGM.":[70],"Firstly,":[71],"module":[75],"based":[76,175],"on":[77,117,208],"adversarial":[80],"network":[81,173],"(GAN)":[82],"established":[84],"predict":[86],"content,":[89,159],"in":[90,214],"which":[91],"semantic":[93,100],"similarity":[94],"and":[95,102,143,156,165,193],"structural":[97,103],"dissimilarity":[98],"consistency":[101],"completeness)":[104],"are":[105,163],"both":[106],"considered":[107],"during":[108],"optimization.":[110],"Then,":[111],"measured":[116],"basis":[119],"its":[121,157],"content.":[123],"Generally,":[124],"highly":[129],"related":[130],"three":[132,161],"aspects,":[133],"i.e.,":[134],"scene":[136],"information":[137],"(content-dependency),":[138],"distortion":[140],"type":[141],"(distortion-dependency),":[142],"degradation":[146,197],"(degradation-dependency).":[147],"According":[148],"correlation":[151],"between":[152],"distorted":[154],"aspects":[162],"analyzed":[164],"calculated":[166],"respectively":[167],"with":[168,181],"multi-stream":[170,201],"convolutional":[171],"neural":[172],"(CNN)":[174],"evaluator.":[177],"As":[178],"result,":[180],"help":[183],"obtained":[188],"from":[189,199],"comprehensive":[195],"measurement":[198],"CNN,":[202],"our":[203,217],"method":[204,218],"achieves":[205,219],"competitive":[206],"performance":[207],"five":[209],"popular":[210],"IQA":[211],"databases.":[212],"Especially":[213],"cross-database":[215],"evaluations,":[216],"significant":[220],"improvements.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}