{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:28:54Z","timestamp":1775744934519,"version":"3.50.1"},"reference-count":56,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"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":[[2020,3]]},"DOI":"10.1109\/wacv45572.2020.9093537","type":"proceedings-article","created":{"date-parts":[[2020,5,14]],"date-time":"2020-05-14T23:41:09Z","timestamp":1589499669000},"page":"3139-3148","source":"Crossref","is-referenced-by-count":29,"title":["How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study"],"prefix":"10.1109","author":[{"given":"Len","family":"Du","sequence":"first","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.1992.201708"},{"key":"ref38","first-page":"1089","article-title":"On random weights and unsupervised feature learning","author":"saxe","year":"2011","journal-title":"Proceedings of the 28th International Conference on International Conference on Machine Learning"},{"key":"ref33","article-title":"Prisma: The world&#x2019;s coolest new app taking over your instagram","author":"mcgoogan","year":"2016","journal-title":"The Telegraph"},{"key":"ref32","article-title":"This algorithm can create a new van gogh or picasso in just an hour","author":"mcfarland","year":"2015","journal-title":"Washingtonpost com"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1990.137772"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.01.022"},{"key":"ref37","first-page":"525","article-title":"Xnor-net: Imagenet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/00207179208934315"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.12206","article-title":"Verifying properties of binarized deep neural networks","author":"narodytska","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.013"},{"key":"ref28","first-page":"345","article-title":"Towards accurate binary convolutional neural network","volume":"30","author":"lin","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref27","first-page":"2849","article-title":"Fixed point quantization of deep convolutional networks","author":"lin","year":"2016","journal-title":"Proceedings of The 33rd International Conference on Machine Learning volume 48 of Proceedings of Machine Learning Research"},{"key":"ref29","article-title":"Troubling trends in machine learning scholarship","author":"lipton","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2015\/08\/P08008"},{"key":"ref1","article-title":"The deep weight prior","author":"atanov","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref20","first-page":"985","article-title":"Extreme learning machine: a new learning scheme of feedforward neural networks","volume":"2","author":"huang","year":"2004","journal-title":"Neural Networks"},{"key":"ref22","first-page":"1","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","volume":"18","author":"hubara","year":"2018","journal-title":"Journal of Machine Learning Research"},{"key":"ref21","first-page":"4107","article-title":"Binarized neural networks","volume":"29","author":"hubara","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1109\/TVCG.2019.2921336","article-title":"Neural style transfer: A review","author":"jing","year":"2019","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"ref23","author":"jacq","year":"2019","journal-title":"Neural transfer using pytorch"},{"key":"ref26","first-page":"5813","article-title":"Training quantized nets: A deeper understanding","author":"li","year":"2017","journal-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems NIPS&#x2019;17"},{"key":"ref25","article-title":"Ternary weight networks","author":"li","year":"2016"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.06.081"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-012-0867-8"},{"key":"ref56","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"2016"},{"key":"ref55","article-title":"Trained ternary quantization","author":"zhu","year":"2017","journal-title":"5th International Conference on Learning Representations - ICLR 2017"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-11786-6"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2481713"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2002273"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.neunet.2018.01.010","article-title":"Gxnor-net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework","volume":"100","author":"deng","year":"2018","journal-title":"Neural Networks"},{"key":"ref11","first-page":"1","article-title":"Neural architecture search: A survey","volume":"20","author":"elsken","year":"2019","journal-title":"Journal of Machine Learning Research"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8060661"},{"key":"ref12","author":"gaier","year":"2019","journal-title":"Weight agnostic neural networks"},{"key":"ref13","article-title":"A neural algorithm of artistic style","author":"gatys","year":"2015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2546221"},{"key":"ref16","first-page":"631","article-title":"A powerful generative model using random weights for the deep image representation","author":"he","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","article-title":"Analysis of quantized models","author":"hou","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2002275"},{"key":"ref4","article-title":"Radial basis functions, multi-variable functional interpolation and adaptive networks","author":"broomhead","year":"1988","journal-title":"Technical report Royal Signals and Radar Establishment Malvern (United Kingdom)"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10657","article-title":"Efficient parameter importance analysis via ablation with surrogates","author":"biedenkapp","year":"2017","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.08.040"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4171\/MSL\/7"},{"key":"ref8","first-page":"3123","article-title":"Bina-ryconnect: Training deep neural networks with binary weights during propagations","volume":"28","author":"courbariaux","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727666"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_20"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2758-x"},{"key":"ref45","first-page":"9446","article-title":"Deep image prior","author":"ulyanov","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref48","first-page":"6458","article-title":"Understanding priors in bayesian neural networks at the unit level","author":"vladimirova","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.01.072"},{"key":"ref42","article-title":"Striving for simplicity: The all convolutional net","author":"springenberg","year":"2015","journal-title":"International Conference on Learning Representations ICLR 2015"},{"key":"ref41","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neucom.2015.03.110","article-title":"Deep extreme learning machines: supervised autoencoding architecture for classification","volume":"174","author":"tissera","year":"2016","journal-title":"Neurocomputing"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/78.229903"}],"event":{"name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","location":"Snowmass Village, CO, USA","start":{"date-parts":[[2020,3,1]]},"end":{"date-parts":[[2020,3,5]]}},"container-title":["2020 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9087828\/9093261\/09093537.pdf?arnumber=9093537","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T15:44:25Z","timestamp":1666539865000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093537\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093537","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}