Generative Adversarial Networks and Conditional Random Fields for
Hyperspectral Image Classification

Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification

12 May 2019

Jonathan Li

Papers citing "Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification"

10 / 10 papers shown

Title
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 45 483 0 27 May 2017
Bayesian GAN Yunus Saatci A. Wilson GAN 49 133 0 26 May 2017
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network Xiangyong Cao Feng Zhou Lin Xu Deyu Meng Zongben Xu J. Paisley 30 252 0 01 May 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 478 9,048 0 10 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 239 18,232 0 02 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 250 14,008 0 19 Nov 2015
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip Torr SSeg 238 2,536 0 11 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krahenbuhl V. Koltun 130 3,453 0 20 Oct 2012