Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works

15 November 2022

Papers citing "Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works"

9 / 9 papers shown

Title
BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs Mingning Guo Mengwei Wu Jiarun He Shaoxian Li Haifeng Li Chao Tao 72 1 0 23 May 2025
Cross-sensor self-supervised training and alignment for remote sensing V. Marsocci Nicolas Audebert 82 1 0 16 May 2024
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing Hugo Chan-To-Hing B. Veeravalli 105 9 0 05 Jan 2024
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 157 6 0 01 Nov 2023
Self-Supervised Learning for Improved Synthetic Aperture Sonar Target Recognition BW Sheffield 57 1 0 27 Jul 2023
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation Zhaoyang Zhang Zhen Ren Chao Tao Yunsheng Zhang Cheng-Shuang Peng Haifeng Li SSL 76 12 0 28 Jun 2023
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation V. Marsocci Simone Scardapane CLL 95 27 0 23 May 2022
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning Chao Tao Ji Qi Guo Zhang Qing Zhu Weipeng Lu Haifeng Li 109 45 0 10 Apr 2022
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 332 4,109 0 17 Jun 2020