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

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

11 April 2022

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

9 / 9 papers shown

Title
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 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 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 Hugo Chan-To-Hing B. Veeravalli 22 8 0 05 Jan 2024
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification P. Berg M. Pham Nicolas Courty SSL 25 2 0 16 Jun 2023
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 21 56 0 15 Nov 2022
Transfer Learning with Pretrained Remote Sensing Transformers A. Fuller K. Millard J.R. Green 25 11 0 28 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 305 5,773 0 29 Apr 2021