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Modeling Mask Uncertainty in Hyperspectral Image Reconstruction

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction

31 December 2021
Jiamian Wang
Yulun Zhang
X. Yuan
Ziyi Meng
Zhiqiang Tao
ArXivPDFHTML

Papers citing "Modeling Mask Uncertainty in Hyperspectral Image Reconstruction"

8 / 8 papers shown
Title
Robustness and Exploration of Variational and Machine Learning
  Approaches to Inverse Problems: An Overview
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
31
0
0
19 Feb 2024
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
Jiamian Wang
Zong-Jhe Wu
Yulun Zhang
Xin Yuan
Tao R. Lin
Zhiqiang Tao
FedML
51
3
0
01 Jun 2023
Computational Imaging and Artificial Intelligence: The Next Revolution
  of Mobile Vision
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
J. Suo
Weihang Zhang
Jin Gong
Xin Yuan
D. Brady
Qionghai Dai
43
23
0
18 Sep 2021
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
Xin Yuan
Yang Liu
J. Suo
F. Durand
Qionghai Dai
53
77
0
13 Jan 2021
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
Iterative Visual Reasoning Beyond Convolutions
Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen
Li-Jia Li
Li Fei-Fei
Abhinav Gupta
LRM
GNN
37
213
0
29 Mar 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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