{"id":"https://openalex.org/W4400949005","doi":"https://doi.org/10.1145/3672919.3672977","title":"Self-Supervised Image Quality Assessment through Active Learning","display_name":"Self-Supervised Image Quality Assessment through Active Learning","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4400949005","doi":"https://doi.org/10.1145/3672919.3672977"},"language":"en","primary_location":{"id":"doi:10.1145/3672919.3672977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","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/A5105032088","display_name":"Yunchao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunchao Yu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011122706","display_name":"Qingbing Sang","orcid":"https://orcid.org/0000-0001-7384-1650"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingbing Sang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5105032088"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10852481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9986000061035156,"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":0.9986000061035156,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9933000206947327,"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":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7230534553527832},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5657451152801514},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5530680418014526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5325073003768921},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46895450353622437},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4421333074569702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3458952307701111},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3420717120170593},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.21033704280853271},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12131869792938232},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.11439952254295349}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230534553527832},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5657451152801514},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5530680418014526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5325073003768921},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46895450353622437},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4421333074569702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3458952307701111},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3420717120170593},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.21033704280853271},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12131869792938232},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.11439952254295349},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672919.3672977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2513500606","https://openalex.org/W2572649260","https://openalex.org/W2905544033","https://openalex.org/W2963975576","https://openalex.org/W3002992380","https://openalex.org/W3034882073","https://openalex.org/W3035719652","https://openalex.org/W3091249416","https://openalex.org/W3194280054","https://openalex.org/W6600903635","https://openalex.org/W6601180101"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W2466958844","https://openalex.org/W1963988314","https://openalex.org/W2804751933","https://openalex.org/W1924500548","https://openalex.org/W2245293081","https://openalex.org/W1973829424","https://openalex.org/W3209787365"],"abstract_inverted_index":{"The":[0],"precise":[1],"evaluation":[2],"of":[3,14,34,55,88,105,122,155,164,179],"image":[4,15,22,25,35,90,156,169],"quality":[5,36,170],"is":[6,78],"crucial":[7],"in":[8,50,81,135],"various":[9],"applications":[10],"within":[11],"the":[12,29,59,74,86,89,99,111,119,123,144,160,165,177,180,185],"field":[13],"processing,":[16],"such":[17],"as":[18],"computer":[19],"vision,":[20],"medical":[21],"analysis,":[23],"and":[24,31],"sensor":[26],"design.":[27],"Nevertheless,":[28],"subjective":[30],"intricate":[32],"nature":[33],"assessment":[37,171],"poses":[38],"a":[39,52,102,132,152],"challenge":[40],"for":[41],"traditional":[42],"supervised":[43],"learning":[44,114],"methods.":[45],"These":[46],"methods":[47],"encounter":[48],"difficulty":[49],"acquiring":[51],"substantial":[53],"number":[54,104],"labeled":[56,106,188],"samples,":[57,129],"making":[58],"process":[60,121],"not":[61,174],"only":[62,175],"challenging":[63],"but":[64,182],"also":[65,183],"financially":[66],"demanding.":[67],"In":[68],"order":[69],"to":[70,92,116,158],"solve":[71],"this":[72,82],"problem,":[73],"self-supervised":[75,136],"training":[76,120],"method":[77],"first":[79],"adopted":[80],"study,":[83],"which":[84,130],"uses":[85],"information":[87],"itself":[91],"carry":[93],"out":[94],"unsupervised":[95],"learning,":[96],"thus":[97],"reducing":[98],"dependence":[100],"on":[101,143,151,168,187],"large":[103],"samples.":[107],"Subsequently,":[108],"we":[109],"introduced":[110],"batch-Bald":[112],"active":[113],"strategy":[115],"actively":[117],"guide":[118],"model":[124],"by":[125],"effectively":[126],"selecting":[127],"representative":[128],"plays":[131],"key":[133],"role":[134],"training.":[137],"Finally,":[138],"further":[139],"adjustments":[140],"are":[141],"made":[142],"target":[145],"data":[146],"set.":[147],"We":[148],"conducted":[149],"experiments":[150],"wide":[153],"range":[154],"datasets":[157],"demonstrate":[159],"significant":[161],"performance":[162],"improvement":[163],"proposed":[166],"approach":[167],"tasks.":[172],"This":[173],"enhances":[176],"accuracy":[178],"assessment,":[181],"reduces":[184],"reliance":[186],"data.":[189]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}