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Semantic Segmentation from Remote Sensor Data and the Exploitation of
  Latent Learning for Classification of Auxiliary Tasks

Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks

19 December 2019
B. Chatterjee
Charalambos (Charis) Poullis
    SSeg
ArXivPDFHTML

Papers citing "Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks"

35 / 35 papers shown
Title
Self-Supervised Generalisation with Meta Auxiliary Learning
Self-Supervised Generalisation with Meta Auxiliary Learning
Shikun Liu
Andrew J. Davison
Edward Johns
SSL
OOD
50
163
0
25 Jan 2019
Fine-Grained Visual Categorization using Meta-Learning Optimization with
  Sample Selection of Auxiliary Data
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
Yabin Zhang
Hui Tang
Kui Jia
94
95
0
28 Jul 2018
TernausNetV2: Fully Convolutional Network for Instance Segmentation
TernausNetV2: Fully Convolutional Network for Instance Segmentation
V. Iglovikov
Selim S. Seferbekov
A. Buslaev
Alexey A. Shvets
SSeg
69
157
0
03 Jun 2018
Auxiliary Tasks in Multi-task Learning
Auxiliary Tasks in Multi-task Learning
Lukas Liebel
Marco Körner
SSL
38
253
0
16 May 2018
Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked
  U-Nets
Automatic Pixelwise Object Labeling for Aerial Imagery Using Stacked U-Nets
A. Khalel
M. El-Saban
27
49
0
13 Mar 2018
Concurrent Spatial and Channel Squeeze & Excitation in Fully
  Convolutional Networks
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
Abhijit Guha Roy
Nassir Navab
Christian Wachinger
61
803
0
07 Mar 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters
  in Deep Neural Networks
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
Ruth C. Fong
Andrea Vedaldi
FAtt
71
264
0
10 Jan 2018
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Samuel Rota Buló
Lorenzo Porzi
Peter Kontschieder
63
357
0
07 Dec 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,500
0
05 Sep 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
112
1,278
0
22 Apr 2017
Network Dissection: Quantifying Interpretability of Deep Visual
  Representations
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILM
FAtt
146
1,515
1
19 Apr 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
188
5,989
0
04 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
471
22,108
0
09 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
662
12,015
0
04 Dec 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
172
1,580
0
28 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
517
10,330
0
16 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
101
1,228
0
16 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
303
20,023
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
772
36,813
0
25 Aug 2016
Top-down Neural Attention by Excitation Backprop
Top-down Neural Attention by Excitation Backprop
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
81
947
0
01 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
340
7,985
0
23 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
741
37,862
0
20 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,253
0
23 Feb 2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
94
174
0
24 Dec 2015
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,319
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,802
0
02 Nov 2015
DeepStereo: Learning to Predict New Views from the World's Imagery
DeepStereo: Learning to Predict New Views from the World's Imagery
John Flynn
Ivan Neulander
James Philbin
Noah Snavely
3DV
117
652
0
22 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
248
4,672
0
21 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
126
1,962
0
26 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
465
43,658
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,295
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,882
0
12 Nov 2013
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