Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes

1 code implementation • 15 Apr 2024 • Ivica Obadic, Alex Levering, Lars Pennig, Dario Oliveira, Diego Marcos, Xiaoxiang Zhu

This improves the model's interpretability as it enables the latent space of the model to associate urban concepts with continuous intervals of socioeconomic outcomes.

Representation Learning

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing

no code implementations • 21 Feb 2024 • Adrian Höhl, Ivica Obadic, Miguel Ángel Fernández Torres, Hiba Najjar, Dario Oliveira, Zeynep Akata, Andreas Dengel, Xiao Xiang Zhu

In recent years, black-box machine learning approaches have become a dominant modeling paradigm for knowledge extraction in Remote Sensing.

Foundation Models for Generalist Geospatial Artificial Intelligence

1 code implementation • 28 Oct 2023 • Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dario Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi, Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu Ganti, Kommy Weldemariam, Rahul Ramachandran

This paper introduces a first-of-a-kind framework for the efficient pre-training and fine-tuning of foundational models on extensive geospatial data.

Earth Observation Imputation

A modular framework for extreme weather generation

no code implementations • 5 Feb 2021 • Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dario Oliveira, Eduardo Rodrigues, Jorge Guevara

Extreme weather events have an enormous impact on society and are expected to become more frequent and severe with climate change.

BIG-bench Machine Learning