RenderGAN: Generating Realistic Labeled Data

4 November 2016

Papers citing "RenderGAN: Generating Realistic Labeled Data"

21 / 21 papers shown

Title
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification Tom Burgert Tim Siebert Kai Norman Clasen Begüm Demir Begüm Demir 72 1 0 22 May 2024
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 68 349 0 06 Sep 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 94 1,800 0 22 Dec 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 120 2,007 0 07 Aug 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,232 0 12 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 649 37,806 0 20 May 2016
Single Image 3D Interpreter Network Jiajun Wu Tianfan Xue Joseph J Lim Yuandong Tian J. Tenenbaum Antonio Torralba William T. Freeman 3DV 53 285 0 29 Apr 2016
Learning Dense Correspondence via 3D-guided Cycle Consistency Tinghui Zhou Philipp Krahenbuhl Mathieu Aubry Qi-Xing Huang Alexei A. Efros 130 389 0 18 Apr 2016
Generative Image Modeling using Style and Structure Adversarial Networks Xinyu Wang Abhinav Gupta GAN 116 617 0 17 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views Francisco Massa Bryan C. Russell Mathieu Aubry 3DV ObjD 101 100 0 08 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 13,989 0 19 Nov 2015
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 82 745 0 19 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 90 2,241 0 18 Jun 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views Hao Su C. Qi Yangyan Li Leonidas Guibas 97 737 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 162 676 0 21 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 208 8,321 0 06 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,472 0 01 Sep 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 147 4,938 0 23 Mar 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 274 26,168 0 11 Nov 2013