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Towards a Collective Agenda on AI for Earth Science Data Analysis

Towards a Collective Agenda on AI for Earth Science Data Analysis

11 April 2021
D. Tuia
R. Roscher
Jan Dirk Wegner
Nathan Jacobs
Xiaoxiang Zhu
Gustau Camps-Valls
    AI4CE
ArXivPDFHTML

Papers citing "Towards a Collective Agenda on AI for Earth Science Data Analysis"

9 / 9 papers shown
Title
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
93
0
0
14 Sep 2024
Stable Rivers: A Case Study in the Application of Text-to-Image
  Generative Models for Earth Sciences
Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth Sciences
C. Kupferschmidt
A. Binns
K. L. Kupferschmidt
G. W. Taylor
DiffM
8
0
0
13 Dec 2023
The curse of language biases in remote sensing VQA: the role of spatial
  attributes, language diversity, and the need for clear evaluation
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation
Christel Chappuis
Eliot Walt
Vincent Mendez
Sylvain Lobry
B. L. Saux
D. Tuia
23
3
0
28 Nov 2023
AI Security for Geoscience and Remote Sensing: Challenges and Future
  Trends
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Yonghao Xu
Tao Bai
Weikang Yu
Shizhen Chang
P. M. Atkinson
Pedram Ghamisi
AAML
17
47
0
19 Dec 2022
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep
  Learning -- Demonstrated for Offshore Wind Farm Detection
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection
Thorsten Hoeser
C. Kuenzer
30
19
0
06 Dec 2021
How to find a good image-text embedding for remote sensing visual
  question answering?
How to find a good image-text embedding for remote sensing visual question answering?
Christel Chappuis
Sylvain Lobry
B. Kellenberger
Bertrand Le Saux
D. Tuia
30
20
0
24 Sep 2021
Machine Learning Information Fusion in Earth Observation: A
  Comprehensive Review of Methods, Applications and Data Sources
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
S. Salcedo-Sanz
Pedram Ghamisi
M. Piles
M. Werner
L. Cuadra
Á. Moreno-Martínez
E. Izquierdo-Verdiguier
Jordi Munoz-Marí
Amir H. Mosavi
G. Camps-Valls
29
174
0
07 Dec 2020
RSVQA: Visual Question Answering for Remote Sensing Data
RSVQA: Visual Question Answering for Remote Sensing Data
Sylvain Lobry
Diego Marcos
J. Murray
D. Tuia
62
205
0
16 Mar 2020
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
243
890
0
11 Nov 2017
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