{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T17:10:06Z","timestamp":1755882606468,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1145\/3672919.3672977","type":"proceedings-article","created":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T12:39:43Z","timestamp":1721824783000},"page":"315-319","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Self-Supervised Image Quality Assessment through Active Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3860-2777","authenticated-orcid":false,"given":"Yunchao","family":"Yu","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7384-1650","authenticated-orcid":false,"given":"Qingbing","family":"Sang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,7,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Shi S","author":"Yang S","year":"2022","unstructured":"Yang S, Wu T, Shi S, Maniqa: Multi-dimension attention network for no-reference image quality assessment[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2022: 1191-1200."},{"key":"e_1_3_2_1_2_1","volume-title":"Gal Y. Batchbald: Efficient and diverse batch acquisition for deep Bayesian active learning[J]. Advances in neural information processing systems","author":"Kirsch A","year":"2019","unstructured":"Kirsch A, Van Amersfoort J, Gal Y. Batchbald: Efficient and diverse batch acquisition for deep Bayesian active learning[J]. Advances in neural information processing systems, 2019, 32."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Liu X Van De Weijer J Bagdanov A D. Rankiqa: Learning from rankings for no-reference image quality assessment[C]\/\/Proceedings of the IEEE international conference on computer vision. 2017: 1040-1049.","DOI":"10.1109\/ICCV.2017.118"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Zhu H Li L Wu J MetaIQA: Deep meta-learning for no-reference image quality assessment[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 14143-14152.","DOI":"10.1109\/CVPR42600.2020.01415"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Golestaneh S A Dadsetan S Kitani K M. No-reference image quality assessment via transformers relative ranking and self-consistency[C]\/\/Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision. 2022: 1220-1230.","DOI":"10.1109\/WACV51458.2022.00404"},{"key":"e_1_3_2_1_6_1","volume-title":"Caltech-256 object category dataset[J]","author":"Griffin G","year":"2007","unstructured":"Griffin G, Holub A, Perona P. Caltech-256 object category dataset[J]. 2007."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2604042"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2967829"},{"key":"e_1_3_2_1_9_1","volume-title":"Live in the wild image quality challenge database[J]. Online: http:\/\/live. ece. utexas. edu\/research\/ChallengeDB\/index.html [Mar","author":"Ghadiyaram D","year":"2017","unstructured":"Ghadiyaram D, Bovik A C. Live in the wild image quality challenge database[J]. Online: http:\/\/live. ece. utexas. edu\/research\/ChallengeDB\/index.html [Mar, 2017], 2015."},{"key":"e_1_3_2_1_10_1","volume-title":"DeepFL-IQA: Weak supervision for deep IQA feature learning[J]. arXiv preprint arXiv:2001.08113","author":"Lin H","year":"2020","unstructured":"Lin H, Hosu V, Saupe D. DeepFL-IQA: Weak supervision for deep IQA feature learning[J]. arXiv preprint arXiv:2001.08113, 2020."},{"key":"e_1_3_2_1_11_1","first-page":"57","volume-title":"TID2013: Peculiarities, results and perspectives[J]. Signal processing: Image communication","author":"Ponomarenko N","year":"2015","unstructured":"Ponomarenko N, Jin L, Ieremeiev O, Image database TID2013: Peculiarities, results and perspectives[J]. Signal processing: Image communication, 2015, 30: 57-77."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2886771"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Su S Yan Q Zhu Y Blindly assess image quality in the wild guided by a self-adaptive hyper network[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 3667-3676.","DOI":"10.1109\/CVPR42600.2020.00372"},{"key":"e_1_3_2_1_14_1","volume-title":"Attention is all you need[J]. Advances in neural information processing systems","author":"Vaswani A","year":"2017","unstructured":"Vaswani A, Shazeer N, Parmar N, Attention is all you need[J]. Advances in neural information processing systems, 2017, 30."},{"key":"e_1_3_2_1_15_1","first-page":"1389","article-title":"Transformer for image quality assessment[C]\/\/2021 IEEE International Conference on Image Processing (ICIP)","volume":"2021","author":"You J","unstructured":"You J, Korhonen J. Transformer for image quality assessment[C]\/\/2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021: 1389-1393.","journal-title":"IEEE"},{"key":"e_1_3_2_1_16_1","volume-title":"Wang Y","author":"Ke J","year":"2021","unstructured":"Ke J, Wang Q, Wang Y, Musiq: Multi-scale image quality transformer[C]\/\/Proceedings of the IEEE\/CVF International Conference on Computer Vision. 2021: 5148-5157."}],"event":{"name":"CSAIDE 2024: 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","acronym":"CSAIDE 2024","location":"Nanjing China"},"container-title":["Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3672919.3672977","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3672919.3672977","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:37:12Z","timestamp":1755880632000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3672919.3672977"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":16,"alternative-id":["10.1145\/3672919.3672977","10.1145\/3672919"],"URL":"https:\/\/doi.org\/10.1145\/3672919.3672977","relation":{},"subject":[],"published":{"date-parts":[[2024,3]]},"assertion":[{"value":"2024-07-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}