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Deep Active Learning in Remote Sensing for data efficient Change
  Detection

Deep Active Learning in Remote Sensing for data efficient Change Detection

25 August 2020
Vít Ruzicka
Stefano Dáronco
Jan Dirk Wegner
Konrad Schindler
ArXivPDFHTML

Papers citing "Deep Active Learning in Remote Sensing for data efficient Change Detection"

4 / 4 papers shown
Title
Semantic-aware Dense Representation Learning for Remote Sensing Image
  Change Detection
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen
Wenyuan Li
Songhang Chen
Zhenwei Shi
23
38
0
27 May 2022
Unsupervised Change Detection of Extreme Events Using ML On-Board
Unsupervised Change Detection of Extreme Events Using ML On-Board
Vít Ruzicka
Anna Vaughan
D. Martini
James Fulton
Valentina Salvatelli
Chris Bridges
Gonzalo Mateo-García
Valentina Zantedeschi
19
6
0
04 Nov 2021
Semantic Change Detection with Asymmetric Siamese Networks
Semantic Change Detection with Asymmetric Siamese Networks
Kunping Yang
Gui-Song Xia
Zicheng Liu
Bo Du
Wen Yang
Marcello Pelillo
Liangpei Zhang
47
33
0
12 Oct 2020
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
9,136
0
06 Jun 2015
1