{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T06:28:57Z","timestamp":1729664937224,"version":"3.28.0"},"reference-count":49,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1109\/iccv48922.2021.01008","type":"proceedings-article","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T17:08:02Z","timestamp":1646068082000},"page":"10222-10231","source":"Crossref","is-referenced-by-count":25,"title":["Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment"],"prefix":"10.1109","author":[{"given":"Heliang","family":"Zheng","sequence":"first","affiliation":[{"name":"University of Science and Technology of China,Hefei,China"}]},{"given":"Huan","family":"Yang","sequence":"additional","affiliation":[{"name":"Microsoft Research,Beijing,China"}]},{"given":"Jianlong","family":"Fu","sequence":"additional","affiliation":[{"name":"Microsoft Research,Beijing,China"}]},{"given":"Zheng-Jun","family":"Zha","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China,Hefei,China"}]},{"given":"Jiebo","family":"Luo","sequence":"additional","affiliation":[{"name":"University of Rochester,Rochester,NY"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00583"},{"key":"ref33","first-page":"9446","article-title":"Deep image prior","author":"ulyanov","year":"2018","journal-title":"CVPR"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2831899"},{"journal-title":"ICLRE","article-title":"Very deep convolutional networks for large-scale image recognition","year":"2015","author":"simonyan","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881959"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref35","first-page":"0","article-title":"ESRGAN: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"ECCVW"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2013.6737716"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.12258","article-title":"RAN4IQA: Restorative adversarial nets for no-reference image quality assessment","volume":"32","author":"ren","year":"2018","journal-title":"AAAI"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00194"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2191563"},{"key":"ref2","first-page":"206","article-title":"Deep neural networks for no-reference and full-reference image quality assessment","volume":"27","author":"bosse","year":"2017","journal-title":"TIP"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"},{"key":"ref20","first-page":"1202","article-title":"End-to-end blind image quality assessment using deep neural networks","volume":"27","author":"ma","year":"2017","journal-title":"TIP"},{"key":"ref22","first-page":"4695","article-title":"Noreference image quality assessment in the spatial domain","volume":"21","author":"mittal","year":"2012","journal-title":"TIP"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1964921.1964935"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00667"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref26","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NeurIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_16"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"journal-title":"NeurIPSW","article-title":"Distilling the knowledge in a neural network","year":"2014","author":"hinton","key":"ref11"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00220"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.224"},{"key":"ref14","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"NeurIPS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2009.2014497"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00083"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00779"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2708503"},{"key":"ref4","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NeurIPS"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2990342"},{"article-title":"Image quality assessment for perceptual image restoration: A new dataset, benchmark and metric","year":"2020","author":"gu","key":"ref6"},{"key":"ref5","first-page":"633","article-title":"PIPAL: A large-scale image quality assessment dataset for perceptual image restoration","author":"gu","year":"2020","journal-title":"ECCV"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_22"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00908"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00515"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00435"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00319"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01329"},{"key":"ref47","first-page":"286","article-title":"Image super-resolution using very deep residual channel attention networks","author":"zhang","year":"2018","journal-title":"ECCV"},{"journal-title":"TPAMI","article-title":"Context-aware visual policy network for fine-grained image captioning","year":"2019","author":"zha","key":"ref42"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00158"},{"key":"ref44","first-page":"2378","article-title":"FSIM: A feature similarity index for image quality assessment","volume":"20","author":"zhang","year":"2011","journal-title":"TIP"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"}],"event":{"name":"2021 IEEE\/CVF International Conference on Computer Vision (ICCV)","start":{"date-parts":[[2021,10,10]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2021,10,17]]}},"container-title":["2021 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9709627\/9709628\/09710578.pdf?arnumber=9710578","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T21:59:45Z","timestamp":1674856785000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9710578\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/iccv48922.2021.01008","relation":{},"subject":[],"published":{"date-parts":[[2021,10]]}}}
