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Self-supervised Remote Sensing Images Change Detection at Pixel-level

Self-supervised Remote Sensing Images Change Detection at Pixel-level

18 May 2021
Yuxing Chen
Lorenzo Bruzzone
    SSL
ArXivPDFHTML

Papers citing "Self-supervised Remote Sensing Images Change Detection at Pixel-level"

10 / 10 papers shown
Title
SSLChange: A Self-supervised Change Detection Framework Based on Domain
  Adaptation
SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
Yitao Zhao
Turgay Celik
Nanqing Liu
Feng Gao
Heng-Chao Li
35
4
0
28 May 2024
Generic Knowledge Boosted Pre-training For Remote Sensing Images
Generic Knowledge Boosted Pre-training For Remote Sensing Images
Ziyue Huang
Mingming Zhang
Yuan Gong
Qingjie Liu
Yunhong Wang
VLM
35
14
0
09 Jan 2024
Extending global-local view alignment for self-supervised learning with
  remote sensing imagery
Extending global-local view alignment for self-supervised learning with remote sensing imagery
Xinye Wanyan
Sachith Seneviratne
Shuchang Shen
M. Kirley
73
18
0
12 Mar 2023
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
Multimodal contrastive learning for remote sensing tasks
Multimodal contrastive learning for remote sensing tasks
Umang Jain
Alex Wilson
Varun Gulshan
SSL
36
24
0
06 Sep 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
27
218
0
27 Jun 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
28
38
0
27 May 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
21
6
0
26 Feb 2022
Self-supervised pre-training enhances change detection in Sentinel-2
  imagery
Self-supervised pre-training enhances change detection in Sentinel-2 imagery
Marrit Leenstra
Diego Marcos
F. Bovolo
D. Tuia
SSL
80
42
0
20 Jan 2021
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
9,138
0
06 Jun 2015
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