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SatMAE: Pre-training Transformers for Temporal and Multi-Spectral
  Satellite Imagery
v1v2v3 (latest)

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

17 July 2022
Yezhen Cong
Samarth Khanna
Chenlin Meng
Patrick Liu
Erik Rozi
Yutong He
Marshall Burke
David B. Lobell
Stefano Ermon
    ViT
ArXiv (abs)PDFHTML

Papers citing "SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery"

3 / 53 papers shown
Title
Functional Map of the World
Functional Map of the World
Gordon A. Christie
Neil Fendley
James Wilson
R. Mukherjee
VGen
82
399
0
21 Nov 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
158
1,834
0
31 Aug 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
570
8,017
0
13 Jun 2015
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