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Toward Foundation Models for Earth Monitoring: Generalizable Deep
  Learning Models for Natural Hazard Segmentation
v1v2v3 (latest)

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
23 January 2023
Johannes Jakubik
Michal Muszynski
Michael Vossing
Niklas Kühl
Thomas Brunschwiler
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation"

4 / 4 papers shown
Foundation Models for Autonomous Robots in Unstructured Environments
Foundation Models for Autonomous Robots in Unstructured Environments
Hossein Naderi
Alireza Shojaei
Lifu Huang
LM&Ro
308
6
0
19 Jul 2024
When are Foundation Models Effective? Understanding the Suitability for
  Pixel-Level Classification Using Multispectral Imagery
When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery
Yiqun Xie
Zhihao Wang
Weiye Chen
Zhili Li
Xiaowei Jia
Yanhua Li
Ruichen Wang
Kangyang Chai
Ruohan Li
Sergii Skakun
VLM
207
7
0
17 Apr 2024
Large Language Models for Captioning and Retrieving Remote Sensing
  Images
Large Language Models for Captioning and Retrieving Remote Sensing Images
João Daniel Silva
João Magalhães
D. Tuia
Bruno Martins
210
41
0
09 Feb 2024
Foundation Models for Generalist Geospatial Artificial Intelligence
Foundation Models for Generalist Geospatial Artificial Intelligence
Johannes Jakubik
Sujit Roy
C. Phillips
P. Fraccaro
Denys Godwin
...
Hamed Alemohammad
M. Maskey
R. Ganti
Kommy Weldemariam
Rahul Ramachandran
AI4CEVLM
388
164
0
28 Oct 2023
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