{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:32:58Z","timestamp":1778257978851,"version":"3.51.4"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Outstanding Innovation Scholarship for Doctoral Candidate of CUMT","award":["2019YCBS032"],"award-info":[{"award-number":["2019YCBS032"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lsp.2022.3145326","type":"journal-article","created":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T20:29:31Z","timestamp":1643142571000},"page":"513-517","source":"Crossref","is-referenced-by-count":30,"title":["SPIQ: A Self-Supervised Pre-Trained Model for Image Quality Assessment"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0509-3782","authenticated-orcid":false,"given":"Pengfei","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9069-8796","authenticated-orcid":false,"given":"Leida","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2936-6340","authenticated-orcid":false,"given":"Qingbo","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7501-0009","authenticated-orcid":false,"given":"Jinjian","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/97.995823"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2304714"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2487369"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2988830"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2726542"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2010.2043888"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247789"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2585880"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.01.010"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2831899"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2016.2639328"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2774045"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2886771"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00372"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01415"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00510"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00054"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506075"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3112197"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413717"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2243725"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2019.8743252"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2781307"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00513"},{"key":"ref28","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"ref32","article-title":"Representation learning with contrastive predictive coding","author":"Oord","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3130536"},{"key":"ref34","article-title":"KonIQ-10 k: Towards an ecologically valid and large-scale IQA database","author":"Lin","year":"2018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref36","first-page":"4182","article-title":"Data-efficient image recognition with contrastive predictive coding","volume-title":"Proc. Int. Conf. Mach. Learn., PMLR","author":"Henaff","year":"2020"},{"key":"ref37","article-title":"Improved baselines with momentum contrastive learning","author":"Chen","year":"2020"},{"key":"ref38","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proc. Int. Conf. Mach. Learn., PMLR","author":"Chen","year":"2020"},{"key":"ref39","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"Grill"},{"key":"ref40","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","author":"Caron","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00202"},{"key":"ref42","first-page":"1","article-title":"Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Komodakis","year":"2017"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/9686799\/09691777.pdf?arnumber=9691777","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:39:11Z","timestamp":1705185551000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9691777\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/lsp.2022.3145326","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}