{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:34:26Z","timestamp":1762508066675,"version":"3.37.3"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100007567","name":"MF EXT-CityU Internal Funds for External Grant Schemes","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007567","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2984886","type":"journal-article","created":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T21:14:38Z","timestamp":1585862078000},"page":"72007-72020","source":"Crossref","is-referenced-by-count":8,"title":["Long-Range Dependencies and High-Order Spatial Pooling for Deep Model-Based Full-Reference Image Quality Assessment"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3527-6907","authenticated-orcid":false,"given":"Mengyang","family":"Liu","sequence":"first","affiliation":[]},{"given":"Lai-Man","family":"Po","sequence":"additional","affiliation":[]},{"given":"Xuyuan","family":"Xu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9586-2812","authenticated-orcid":false,"given":"Kwok Wai","family":"Cheung","sequence":"additional","affiliation":[]},{"given":"Yuzhi","family":"Zhao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5364-5070","authenticated-orcid":false,"given":"Kin Wai","family":"Lau","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7336-7351","authenticated-orcid":false,"given":"Chang","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2346028"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2440172"},{"key":"ref30","first-page":"30","article-title":"TID2008-A database for evaluation of full-reference visual quality assessment metrics","volume":"10","author":"ponomarenko","year":"2009","journal-title":"Adv Modern Radioelectron"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2891159"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2147325"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2191563"},{"key":"ref10","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2109730"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.224"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.213"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2829819"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2016.2639328"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2760518"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.118"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383267"},{"key":"ref19","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref28","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2293423"},{"key":"ref27","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"30","author":"maas","year":"2013","journal-title":"Proc ICML Workshop Deep Learn Audio Speech Lang Process"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2092435"},{"journal-title":"LIVE Image Quality Assessment Database Release 2","year":"2020","author":"sheikh","key":"ref6"},{"key":"ref29","first-page":"1","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2004.1326643"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2014.10.009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2708503"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"},{"key":"ref9","first-page":"21","article-title":"SSD: Single shot MultiBox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"wang","year":"2004","journal-title":"IEEE Trans Image Process"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref22","article-title":"Self-attention generative adversarial networks","author":"zhang","year":"2018","journal-title":"arXiv 1805 08318"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1117\/1.3267105"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2363737"},{"key":"ref26","first-page":"1","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5496297"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09055013.pdf?arnumber=9055013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:56:29Z","timestamp":1642002989000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9055013\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2984886","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}