{"id":"https://openalex.org/W4214497601","doi":"https://doi.org/10.1145/3488933.3488940","title":"MTUP: Multi-Task CNN with Uncertainty and Probability for No-Reference Image Quality Assessment","display_name":"MTUP: Multi-Task CNN with Uncertainty and Probability for No-Reference Image Quality Assessment","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4214497601","doi":"https://doi.org/10.1145/3488933.3488940"},"language":"en","primary_location":{"id":"doi:10.1145/3488933.3488940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488940","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-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/A5108623406","display_name":"Weifeng Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weifeng Shi","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611836","display_name":"Junhao Chen","orcid":"https://orcid.org/0000-0003-3236-3642"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Chen","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030130014","display_name":"Bingrui Song","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingrui Song","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066931530","display_name":"Yuzhen Niu","orcid":"https://orcid.org/0000-0002-9874-9719"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhen Niu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108623406"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21658986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9977999925613403,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9943000078201294,"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/pooling","display_name":"Pooling","score":0.8298414349555969},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7622787356376648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733931839466095},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.7009861469268799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6730061769485474},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.658611536026001},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6387271881103516},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.5982732176780701},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5961447954177856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5165068507194519},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4522190988063812},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.433779776096344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4055106043815613},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.06048685312271118}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8298414349555969},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7622787356376648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733931839466095},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7009861469268799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730061769485474},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.658611536026001},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6387271881103516},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.5982732176780701},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5961447954177856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5165068507194519},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4522190988063812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.433779776096344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4055106043815613},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.06048685312271118},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488933.3488940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488940","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1287089559","display_name":null,"funder_award_id":"2019J02006,2020J001494","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1532779396","https://openalex.org/W1982471090","https://openalex.org/W1991329314","https://openalex.org/W2051596736","https://openalex.org/W2566149141","https://openalex.org/W2579658395","https://openalex.org/W2752782242","https://openalex.org/W2963677766","https://openalex.org/W2963796134","https://openalex.org/W2964065910","https://openalex.org/W2964343197"],"related_works":["https://openalex.org/W2810679507","https://openalex.org/W1585338487","https://openalex.org/W1997117005","https://openalex.org/W1562127107","https://openalex.org/W2289086982","https://openalex.org/W3194862240","https://openalex.org/W2506963199","https://openalex.org/W2526960468","https://openalex.org/W4206325381","https://openalex.org/W2295706819"],"abstract_inverted_index":{"Current":[0],"CNN-based":[1],"image":[2,9,26,47,83,90,97],"quality":[3,30],"assessment":[4],"(IQA)":[5],"metrics":[6],"treat":[7],"all":[8,46],"patches":[10,48],"equally.":[11],"We":[12,72],"observed":[13],"that":[14,44,118,141],"when":[15],"the":[16,25,36,52,82,86,89,93,121,132,142],"distortions":[17],"do":[18],"not":[19,22,45],"appear":[20],"or":[21],"noticeable":[23],"in":[24],"patch,":[27],"its":[28],"predicted":[29],"score":[31],"is":[32],"usually":[33],"away":[34],"from":[35,85],"subjective":[37],"score.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,111],"argue":[43],"equally":[49],"matter":[50],"for":[51,68,80],"IQA":[53,70],"task":[54,128],"and":[55,66,100,109],"present":[56,74],"a":[57,75,114,147],"multi-task":[58,115],"convolutional":[59],"neural":[60],"network":[61],"(CNN)":[62],"model":[63,145],"with":[64,106,127,152],"uncertainty":[65,129],"probability":[67],"no-reference":[69],"(MTUP).":[71],"also":[73],"probability-aware":[76],"average":[77],"(PAA)":[78],"method":[79,117],"pooling":[81],"quality-score":[84,98],"scores":[87],"of":[88,96,124,134],"patches.":[91],"Because":[92],"loss":[94,122],"functions":[95,123],"prediction":[99],"distortion-type":[101],"identification":[102],"tasks":[103,126],"have":[104],"quantities":[105],"different":[107],"units":[108],"scales,":[110],"further":[112],"use":[113],"learning":[116],"automatically":[119],"weights":[120,136],"multiple":[125],"to":[130],"solve":[131],"challenge":[133],"relative":[135],"tune.":[137],"Experimental":[138],"results":[139],"show":[140],"proposed":[143],"MTUP":[144],"achieved":[146],"superior":[148],"performance":[149],"as":[150],"compared":[151],"state-of-the-art":[153],"NR-IQA":[154],"metrics.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
