{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T18:37:32Z","timestamp":1725734252941},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207546","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-Quality Data for Training"],"prefix":"10.1109","author":[{"given":"Chunpeng","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"694","article-title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","author":"johnson","year":"2016","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref38","first-page":"318","article-title":"Generative Image Modeling Using Style and Structure Adversarial Networks","author":"wang","year":"2016","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601101"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1661412.1618470"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141956"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383296"},{"key":"ref37","first-page":"649","article-title":"Colorful Image Colorization","author":"zhang","year":"2016","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref36","first-page":"469","article-title":"Coupled Generative Adversarial Networks","author":"liu","year":"2016","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref10","first-page":"1486","article-title":"Deep Generative Image Models Using a Laplacian Pyramid of Adversarial Networks","author":"denton","year":"2015","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref40","first-page":"1060","article-title":"Generative Adversarial Text to Image Synthesis","author":"reed","year":"2016","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref11","first-page":"1","article-title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","author":"radford","year":"2016","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref12","article-title":"InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets","author":"chen","year":"2016","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref13","first-page":"1","article-title":"Wasserstein GAN","author":"arjovsky","year":"2017","journal-title":"arxiv preprint arXiv 1701 07875v3"},{"key":"ref14","first-page":"5767","article-title":"Improved Training of Wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref16","article-title":"LSUN: Construction of a Large-Scale Image Dataset Using Deep Learning with Humans in the Loop","author":"yu","year":"2017","journal-title":"arXiv 1506 03365"},{"key":"ref17","first-page":"2642","article-title":"Conditional Image Synthesis with Auxiliary Classifier GANs","author":"odena","year":"2017","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref18","first-page":"1","article-title":"cGANS with Projection Discriminator","author":"miyato","year":"0"},{"key":"ref19","first-page":"1","article-title":"Towards Principled Methods for Training Generative Adversarial Networks","author":"arjovsky","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref28","first-page":"1","article-title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","author":"karras","year":"2018","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.211"},{"key":"ref27","first-page":"1","article-title":"Class-Splitting Generative Adversarial Networks","author":"grinblat","year":"2017","journal-title":"arXiv preprint arXiv 1709 07359v1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.137"},{"key":"ref6","first-page":"6626","article-title":"GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium","author":"heusel","year":"2017","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref29","first-page":"1","article-title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","author":"brock","year":"2019","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref5","first-page":"1","article-title":"Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks","author":"salimans","year":"2016","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref7","first-page":"1","article-title":"Spectral Normalization for Generative Adversarial Network","author":"miyato","year":"2018","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref2","first-page":"7057","article-title":"Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification","author":"li","year":"2018","journal-title":"AAAI Conference on Artificial Intelligence (AAAI)"},{"key":"ref1","first-page":"2672","article-title":"Generative Adversarial Nets","author":"goodfellow","year":"2014","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref20","first-page":"1","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref45","first-page":"5077","article-title":"Stacked Generative Adversarial Networks","author":"li","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref22","first-page":"1","article-title":"Generative Multi-Adversarial Networks","author":"durugkar","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref21","first-page":"2226","article-title":"Improved Techniques for Training GANs","author":"salimans","year":"2016","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref24","first-page":"1","article-title":"Calibrating Energy-based Generative Adversarial Networks","author":"dai","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref42","first-page":"766","article-title":"Discriminative Unsupervised Feature Learning with Convolutional Neural Networks","author":"dosovitskiy","year":"2014","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref23","first-page":"1","article-title":"Adversarially Learned Inference","author":"dumoulin","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref41","first-page":"1","article-title":"A Learned Representation for Artistic Style","author":"dumoulin","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref26","first-page":"1","article-title":"Improving Generative Adversarial Networks with Denoising Feature Matching","author":"warde-farley","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref44","first-page":"69","article-title":"Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles","author":"noroozi","year":"2016","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref25","first-page":"1","article-title":"LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation","author":"yang","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref43","first-page":"1","article-title":"Unsupervised Representation Learning by Predicting Image Rotations","author":"gidaris","year":"2018","journal-title":"International Conference on Learning Representations (ICLR)"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207546.pdf?arnumber=9207546","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:56:09Z","timestamp":1656453369000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207546\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207546","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}