Self-Supervised Material and Texture Representation Learning for Remote
Sensing Tasks

Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks

3 December 2021

Matthew J. Leotta

Papers citing "Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks"

9 / 9 papers shown

Title
MIMRS: A Survey on Masked Image Modeling in Remote Sensing Shabnam Choudhury Akhil Vasim Michael Schmitt Biplab Banerjee 30 0 0 04 Apr 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 44 1 0 14 Mar 2025
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model Di Wang Meiqi Hu Yao Jin Yuchun Miao Jiaqi Yang ... Lefei Zhang Chen Wu Bo Du Dacheng Tao Liangpei Zhang 59 21 0 17 Jun 2024
3D-TexSeg: Unsupervised Segmentation of 3D Texture using Mutual Transformer Learning I. I. Ganapathi Fayaz Ali Sajid Javed Syed Sadaf Ali N. Werghi MedIm 3DV 6 1 0 17 Nov 2023
Towards Geospatial Foundation Models via Continual Pretraining Matías Mendieta Boran Han Xingjian Shi Yi Zhu Chen Chen VLM AI4CE 36 63 0 09 Feb 2023
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering Manuel S. Drehwald S. Eppel Jolina Li Han Hao Alán Aspuru-Guzik 15 6 0 01 Dec 2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 19 56 0 15 Nov 2022
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection Thorsten Hoeser C. Kuenzer 17 19 0 06 Dec 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 620 0 21 Jul 2020