Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI

26 June 2024

Papers citing "Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI"

6 / 6 papers shown

Title
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models Nikolaos Dionelis Jente Bosmans Nicolas Longépé 205 0 0 19 Feb 2025
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey Shengchao Chen Guodong Long Jing Jiang Dikai Liu Chengqi Zhang SyDa AI4CE 89 25 0 05 Dec 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring Alexandre Lacoste Nils Lehmann Pau Rodríguez López Evan D. Sherwin Hannah Kerner ... David Vazquez Dava Newman Yoshua Bengio Stefano Ermon Xiao Xiang Zhu SSL ALM AI4CE 65 62 0 06 Jun 2023
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation Yi Wang Nassim Ait Ali Braham Zhitong Xiong Chenying Liu C. Albrecht Xiao Xiang Zhu 82 72 0 13 Nov 2022
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie Wenhai Wang Zhiding Yu Anima Anandkumar J. Álvarez Ping Luo ViT 288 5,030 0 31 May 2021
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data Oscar Manas Alexandre Lacoste Xavier Giró-i-Nieto David Vazquez Pau Rodríguez López 72 264 0 30 Mar 2021