{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T22:04:51Z","timestamp":1769205891332,"version":"3.49.0"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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","award":["62071387"],"award-info":[{"award-number":["62071387"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62101454"],"award-info":[{"award-number":["62101454"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372379"],"award-info":[{"award-number":["62372379"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022ZD0118700"],"award-info":[{"award-number":["2022ZD0118700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tip.2023.3315540","type":"journal-article","created":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T17:45:16Z","timestamp":1695836716000},"page":"5379-5393","source":"Crossref","is-referenced-by-count":3,"title":["E2FIF: Push the Limit of Binarized Deep Imagery Super-Resolution Using End-to-End Full-Precision Information Flow"],"prefix":"10.1109","volume":"32","author":[{"given":"Chongxing","family":"Song","sequence":"first","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}]},{"given":"Zhiqiang","family":"Lang","sequence":"additional","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0655-056X","authenticated-orcid":false,"given":"Wei","family":"Wei","sequence":"additional","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7528-420X","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1","article-title":"MetaQuant: Learning to quantize by learning to penetrate non-differentiable quantization","volume":"32","author":"chen","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00156"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00638"},{"key":"ref14","first-page":"1","article-title":"Latent weights do not exist: Rethinking binarized neural network optimization","volume":"32","author":"helwegen","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref52","first-page":"286","article-title":"Image super-resolution using very deep residual channel attention networks","author":"zhang","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00495"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00232"},{"key":"ref54","first-page":"1","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume":"30","author":"heusel","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00515"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3066906"},{"key":"ref19","first-page":"1","article-title":"Training binary neural networks with real-to-binary convolutions","author":"martinez","year":"2020","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref18","article-title":"XNOR-Net++: Improved binary neural networks","author":"bulat","year":"2019","journal-title":"arXiv 1909 13863"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5912"},{"key":"ref50","first-page":"1","article-title":"BNN+: Improved binary network training","author":"darabi","year":"2018","journal-title":"Proc ICLR"},{"key":"ref46","first-page":"711","article-title":"On single image scale-up using sparse-representations","author":"zeyde","year":"2010","journal-title":"Proc Int Conf Curves Surf"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3201528"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref43","article-title":"DoReFa-Net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"zhou","year":"2016","journal-title":"arXiv 1606 06160 [cs]"},{"key":"ref49","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref8","first-page":"4107","article-title":"Binarized neural networks","volume":"29","author":"hubara","year":"2016","journal-title":"Proc NeurIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_44"},{"key":"ref9","first-page":"525","article-title":"XNOR-Net: ImageNet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"Proc ECCV"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475178"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475532"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475227"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475174"},{"key":"ref40","article-title":"EBSR: Enhanced binary neural network for image super-resolution","author":"wei","year":"2023","journal-title":"arXiv 2303 12270"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_22"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00099"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_6"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00096"},{"key":"ref31","article-title":"LAB: Learnable activation binarizer for binary neural networks","author":"falkena","year":"2022","journal-title":"arXiv 2210 13858"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_9"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_34"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3212827"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16263"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00280"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00050"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20083-0_35"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00506"},{"key":"ref20","first-page":"7474","article-title":"Rotated binary neural network","volume":"33","author":"lin","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","first-page":"345","article-title":"Towards accurate binary convolutional neural network","author":"lin","year":"2017","journal-title":"Proc NeurIPS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_2"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00501"},{"key":"ref27","article-title":"Improving binary neural networks through fully utilizing latent weights","author":"xu","year":"2021","journal-title":"arXiv 2110 05850"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00148"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9991910\/10265301.pdf?arnumber=10265301","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T18:36:02Z","timestamp":1698086162000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10265301\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tip.2023.3315540","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}