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Cumulo: A Dataset for Learning Cloud Classes
v1v2v3 (latest)

Cumulo: A Dataset for Learning Cloud Classes

5 November 2019
Valentina Zantedeschi
F. Falasca
A. Douglas
Richard Strange
Matt J. Kusner
D. Watson‐Parris
ArXiv (abs)PDFHTML

Papers citing "Cumulo: A Dataset for Learning Cloud Classes"

11 / 11 papers shown
A labeled dataset of cloud types using data from GOES-16 and CloudSat
A labeled dataset of cloud types using data from GOES-16 and CloudSatIEEE Biennial Congress of Argentina (BA), 2022
Paula V. Romero Jure
S. Masuelli
J. Cabral
57
0
0
19 Jun 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring
GEO-Bench: Toward Foundation Models for Earth MonitoringNeural Information Processing Systems (NeurIPS), 2023
Alexandre Lacoste
Nils Lehmann
Pau Rodríguez López
Evan D. Sherwin
Hannah Kerner
...
David Vazquez
Dava Newman
Yoshua Bengio
Stefano Ermon
Xiao Xiang Zhu
SSLALMAI4CE
244
98
0
06 Jun 2023
Toward Foundation Models for Earth Monitoring: Generalizable Deep
  Learning Models for Natural Hazard Segmentation
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard SegmentationIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Johannes Jakubik
Michal Muszynski
Michael Vossing
Niklas Kühl
Thomas Brunschwiler
AI4CE
152
10
0
23 Jan 2023
Insight into cloud processes from unsupervised classification with a
  rotationally invariant autoencoder
Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder
Takuya Kurihana
J. Franke
Ian Foster
Ziwei Wang
Elisabeth Moyer
3DPC
88
0
0
02 Nov 2022
AICCA: AI-driven Cloud Classification Atlas
AICCA: AI-driven Cloud Classification AtlasRemote Sensing (RS), 2022
Takuya Kurihana
Elisabeth Moyer
Ian Foster
247
15
0
29 Sep 2022
Climate-Invariant Machine Learning
Climate-Invariant Machine Learning
Tom Beucler
Pierre Gentine
J. Yuval
Ankitesh Gupta
Liran Peng
...
F. Ahmed
P. O’Gorman
J. Neelin
N. Lutsko
Michael S. Pritchard
OODAI4CE
281
99
0
14 Dec 2021
Toward Foundation Models for Earth Monitoring: Proposal for a Climate
  Change Benchmark
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Alexandre Lacoste
Evan D. Sherwin
Hannah Kerner
Hamed Alemohammad
Bjorn Lutjens
...
Alex Chang
Mehmet Gunturkun
Alexandre Drouin
Pau Rodríguez López
David Vazquez
AI4ClAI4CE
198
35
0
01 Dec 2021
Interval Deep Learning for Uncertainty Quantification in Safety
  Applications
Interval Deep Learning for Uncertainty Quantification in Safety Applications
David Betancourt
R. Muhanna
UQCVAI4CE
140
2
0
13 May 2021
Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder
Data-driven Cloud Clustering via a Rotationally Invariant AutoencoderIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Takuya Kurihana
Elisabeth Moyer
Rebecca Willett
Davis Gilton
Ian Foster
107
19
0
08 Mar 2021
Learnings from Frontier Development Lab and SpaceML -- AI Accelerators
  for NASA and ESA
Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA
Siddha Ganju
Anirudh Koul
Alexander Lavin
J. Veitch-Michaelis
M. Kasam
James Parr
114
7
0
09 Nov 2020
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain
  Adaptation and Label Refinement
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label RefinementIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Peri Akiva
Matthew Purri
Kristin J. Dana
B. Tellman
Tyler Anderson
245
33
0
11 Oct 2020
1
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