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Self-supervised pre-training enhances change detection in Sentinel-2
  imagery

Self-supervised pre-training enhances change detection in Sentinel-2 imagery

20 January 2021
Marrit Leenstra
Diego Marcos
F. Bovolo
D. Tuia
    SSL
ArXivPDFHTML

Papers citing "Self-supervised pre-training enhances change detection in Sentinel-2 imagery"

16 / 16 papers shown
Title
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model
Kyeongjin Ahn
Sungwon Han
Sungwon Park
Jihee Kim
Sangyoon Park
Meeyoung Cha
30
2
0
12 Jun 2024
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart
Nils Lehmann
Isaac Corley
Yi Wang
Yi-Chia Chang
Nassim Ait Ali Braham
Shradha Sehgal
Caleb Robinson
Arindam Banerjee
29
29
0
15 Jun 2023
Unsupervised CD in satellite image time series by contrastive learning
  and feature tracking
Unsupervised CD in satellite image time series by contrastive learning and feature tracking
Yuxing Chen
Lorenzo Bruzzone
SSL
13
4
0
22 Apr 2023
Deep Metric Learning for Unsupervised Remote Sensing Change Detection
Deep Metric Learning for Unsupervised Remote Sensing Change Detection
W. G. C. Bandara
Vishal M. Patel
31
5
0
16 Mar 2023
Contrastive pretraining for semantic segmentation is robust to noisy
  positive pairs
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
Sebastian Gerard
Josephine Sullivan
24
1
0
24 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
EarthNets: Empowering AI in Earth Observation
EarthNets: Empowering AI in Earth Observation
Zhitong Xiong
Fahong Zhang
Yi Wang
Yilei Shi
Xiao Xiang Zhu
86
73
0
10 Oct 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
24
218
0
27 Jun 2022
Inferring 3D change detection from bitemporal optical images
Inferring 3D change detection from bitemporal optical images
V. Marsocci
V. Coletta
R. Ravanelli
Simone Scardapane
M. Crespi
3DPC
28
19
0
31 May 2022
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
25
38
0
27 May 2022
Self-supervised learning -- A way to minimize time and effort for
  precision agriculture?
Self-supervised learning -- A way to minimize time and effort for precision agriculture?
Michael Marszalek
Bertrand Le Saux
P. Mathieu
A. Nowakowski
Daniel Springer
19
7
0
05 Apr 2022
Supervising Remote Sensing Change Detection Models with 3D Surface
  Semantics
Supervising Remote Sensing Change Detection Models with 3D Surface Semantics
Isaac Corley
Peyman Najafirad
3DPC
19
6
0
26 Feb 2022
Semantic decoupled representation learning for remote sensing image
  change detection
Semantic decoupled representation learning for remote sensing image change detection
Hao Chen
Y. Zao
Liqin Liu
Songhang Chen
Zhenwei Shi
16
9
0
15 Jan 2022
Change Detection Meets Visual Question Answering
Change Detection Meets Visual Question Answering
Zhenghang Yuan
Lichao Mou
Zhitong Xiong
Xiaoxiang Zhu
21
43
0
12 Dec 2021
Evaluating Self and Semi-Supervised Methods for Remote Sensing
  Segmentation Tasks
Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks
Chaitanya Patel
Shashank Sharma
Valerie J. Pasquarella
Varun Gulshan
SSL
21
15
0
19 Nov 2021
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Yuxing Chen
Lorenzo Bruzzone
SSL
22
18
0
18 May 2021
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