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An End-to-end Framework For Low-Resolution Remote Sensing Semantic
  Segmentation

An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation

17 March 2020
M. B. Pereira
J. A. dos Santos
ArXivPDFHTML

Papers citing "An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation"

11 / 11 papers shown
Title
The Effects of Super-Resolution on Object Detection Performance in
  Satellite Imagery
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery
Jacob Shermeyer
A. V. Etten
ObjD
51
218
0
10 Dec 2018
Dynamic Multi-Context Segmentation of Remote Sensing Images based on
  Convolutional Networks
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
Keiller Nogueira
M. Dalla Mura
Jocelyn Chanussot
William R. Schwartz
J. A. dos Santos
SSeg
97
133
0
11 Apr 2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
60
174
0
30 Mar 2018
Deep Back-Projection Networks For Super-Resolution
Deep Back-Projection Networks For Super-Resolution
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
SupR
81
1,325
0
07 Mar 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
314
5,218
0
16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
240
10,674
0
15 Sep 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
188
29,742
0
08 Dec 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,179
0
14 Nov 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
919
15,768
0
02 Nov 2015
Is Image Super-resolution Helpful for Other Vision Tasks?
Is Image Super-resolution Helpful for Other Vision Tasks?
Dengxin Dai
Yujian Wang
Yuhua Chen
Luc Van Gool
SupR
48
132
0
23 Sep 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
1.5K
76,917
0
18 May 2015
1