{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T21:13:17Z","timestamp":1765228397287,"version":"3.46.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,8]]},"DOI":"10.1109\/vcip63160.2024.10849909","type":"proceedings-article","created":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T13:36:57Z","timestamp":1737985017000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["KonIQ-10k-LT: Overcoming Score Priors in Blind Image Quality Assessment Under Imbalanced Distributions"],"prefix":"10.1109","author":[{"given":"Desen","family":"Yuan","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.224"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01415"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-019-2757-1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681250"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10448461"},{"article-title":"Learning with noisy low-cost mos for image quality assessment via dual-bias calibration","year":"2023","author":"Wang","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2774045"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2886771"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2967829"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2147325"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2191563"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2426416"},{"article-title":"A probabilistic quality representation approach to deep blind image quality prediction","year":"2017","author":"Zeng","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447893"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/smc54092.2024.10831685"},{"article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"International Conference on Learning Representations","author":"Simonyan","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2886771"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2831899"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00404"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3378466"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00126"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/0470011815.b2a15150"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00296-0_5"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413804"}],"event":{"name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","start":{"date-parts":[[2024,12,8]]},"location":"Tokyo, Japan","end":{"date-parts":[[2024,12,11]]}},"container-title":["2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10849624\/10849781\/10849909.pdf?arnumber=10849909","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T18:37:40Z","timestamp":1765219060000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10849909\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/vcip63160.2024.10849909","relation":{},"subject":[],"published":{"date-parts":[[2024,12,8]]}}}