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Advances in Deep Learning for Hyperspectral Image Analysis--Addressing
  Challenges Arising in Practical Imaging Scenarios

Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios

16 July 2020
Xiong Zhou
S. Prasad
    AAML
ArXiv (abs)PDFHTML

Papers citing "Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios"

9 / 9 papers shown
Title
$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
ddd-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu
Xiong Zhou
Ragav Venkatesan
Gurumurthy Swaminathan
Orchid Majumder
60
120
0
29 May 2019
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial
  Feature Learning Model For Hyperspectral Image Classification
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification
Cheng Deng
Yumeng Xue
Xianglong Liu
Chao Li
Dacheng Tao
55
145
0
04 Apr 2019
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
119
5,037
0
22 Mar 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCVBDL
285
751
0
06 Jun 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
236
8,353
0
06 Nov 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
155
5,008
0
21 Dec 2013
Advances in Hyperspectral Image Classification: Earth monitoring with
  statistical learning methods
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods
Gustavo Camps-Valls
D. Tuia
Lorenzo Bruzzone
J. Benediktsson
80
668
0
18 Oct 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
191
4,951
0
06 Oct 2013
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse
  Regression-Based Approaches
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
J. Bioucas-Dias
Antonio J. Plaza
N. Dobigeon
M. Parente
Q. Du
P. Gader
Jocelyn Chanussot
103
2,575
0
28 Feb 2012
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