Mission Critical -- Satellite Data is a Distinct Modality in Machine
Learning

Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

2 February 2024

Konstantin Klemmer

Papers citing "Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning"

18 / 18 papers shown

Title
Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives Hyunho Lee Wenwen Li AI4CE 33 0 0 03 Apr 2025
On the Generalization of Representation Uncertainty in Earth Observation Spyros Kondylatos N. Bountos Dimitrios Michail Xiao Xiang Zhu Gustau Camps-Valls Ioannis Papoutsis 45 1 0 10 Mar 2025
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 78 1 0 18 Dec 2024
Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu Ritvik Gupta Wenduo Cheng Alexander Shen Junhong Shen Ameet Talwalkar M. Khodak AI4CE 38 4 0 05 Nov 2024
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery Pratinav Seth Michelle Lin Brefo Dwamena Yaw Jade Boutot Mary Kang David Rolnick 23 0 0 11 Oct 2024
Improving satellite imagery segmentation using multiple Sentinel-2 revisits Kartik Jindgar Grace W. Lindsay 17 0 0 25 Sep 2024
KidSat: satellite imagery to map childhood poverty dataset and benchmark Makkunda Sharma Fan Yang Duy-Nhat Vo Esra Suel Swapnil Mishra Samir Bhatt Oliver Fiala William Rudgard Seth Flaxman 33 0 0 08 Jul 2024
SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models James Lowman Kelly Liu Zheng Roydon Fraser J. The Mojtaba Valipour 16 0 0 10 Jun 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation Guillaume Astruc Nicolas Gonthier Clement Mallet Loic Landrieu 23 23 0 12 Apr 2024
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 29 10 0 08 Dec 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters Isaac Corley Caleb Robinson Rahul Dodhia J. L. Ferres Peyman Najafirad 39 14 0 22 May 2023
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy Emily L. Aiken Esther Rolf J. Blumenstock 19 6 0 02 May 2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations Gengchen Mai Ni Lao Yutong He Jiaming Song Stefano Ermon 69 53 0 01 May 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado Reed Ritwik Gupta Shufan Li S. Brockman Christopher Funk Brian Clipp Kurt Keutzer Salvatore Candido M. Uyttendaele Trevor Darrell 110 165 0 30 Dec 2022
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning Christopher Yeh Chenlin Meng Sherrie Wang Anne Driscoll Erik Rozi Patrick Liu Jihyeon Janel Lee Marshall Burke David B. Lobell Stefano Ermon 59 55 0 08 Nov 2021
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images S. Desai Debasmita Ghose 13 29 0 15 Oct 2021
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery Esther Rolf J. Proctor T. Carleton I. Bolliger Vaishaal Shankar Miyabi Ishihara Benjamin Recht S. Hsiang 80 116 0 16 Oct 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015