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Self-supervised Vision Transformers for Joint SAR-optical Representation
  Learning

Self-supervised Vision Transformers for Joint SAR-optical Representation Learning

11 April 2022
Yi Wang
C. Albrecht
Xiaoxiang Zhu
    ViT
ArXivPDFHTML

Papers citing "Self-supervised Vision Transformers for Joint SAR-optical Representation Learning"

10 / 10 papers shown
Title
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Pierre Adorni
M. Pham
Stéphane May
Sébastien Lefèvre
51
0
0
06 May 2025
Assessing Foundation Models for Sea Ice Type Segmentation in Sentinel-1 SAR Imagery
Assessing Foundation Models for Sea Ice Type Segmentation in Sentinel-1 SAR Imagery
Samira Alkaee Taleghan
Morteza Karimzadeh
A. Barrett
Walter N. Meier
F. Banaei-Kashani
61
0
0
28 Mar 2025
Towards a Unified Copernicus Foundation Model for Earth Vision
Towards a Unified Copernicus Foundation Model for Earth Vision
Yi Wang
Zhitong Xiong
Chenying Liu
Adam J. Stewart
Thomas Dujardin
...
Angelos Zavras
Franziska Gerken
Ioannis Papoutsis
Laura Leal-Taixé
Xiao Xiang Zhu
50
1
0
14 Mar 2025
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
Hugo Chan-To-Hing
B. Veeravalli
30
8
0
05 Jan 2024
Joint multi-modal Self-Supervised pre-training in Remote Sensing:
  Application to Methane Source Classification
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification
P. Berg
M. Pham
Nicolas Courty
SSL
33
2
0
16 Jun 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
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Yi Wang
Nassim Ait Ali Braham
Zhitong Xiong
Chenying Liu
C. Albrecht
Xiao Xiang Zhu
34
71
0
13 Nov 2022
Transfer Learning with Pretrained Remote Sensing Transformers
Transfer Learning with Pretrained Remote Sensing Transformers
A. Fuller
K. Millard
J.R. Green
33
11
0
28 Sep 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,457
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
368
5,811
0
29 Apr 2021
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