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Lightweight Temporal Self-Attention for Classifying Satellite Image Time
  Series

Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series

1 July 2020
Vivien Sainte Fare Garnot
Loic Landrieu
ArXivPDFHTML

Papers citing "Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series"

11 / 11 papers shown
Title
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen
Tianyu Cao
Ninon De Mecquenem
Jiahe Li
Zhilong Chen
F. Friederici
Yang Yang
46
1
0
31 Jul 2024
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time
  series
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series
Aimi Okabayashi
Nicolas Audebert
Simon Donike
Charlotte Pelletier
30
2
0
25 Apr 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Guillaume Astruc
Nicolas Gonthier
Clement Mallet
Loic Landrieu
38
25
0
12 Apr 2024
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical
  Satellite Time Series
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Patrick Ebel
Vivien Sainte Fare Garnot
M. Schmitt
Jan Dirk Wegner
Xiao Xiang Zhu
23
32
0
11 Apr 2023
Pixel-wise Agricultural Image Time Series Classification: Comparisons
  and a Deformable Prototype-based Approach
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach
Elliot Vincent
Jean Ponce
Mathieu Aubry
AI4TS
13
5
0
22 Mar 2023
Location-aware Adaptive Normalization: A Deep Learning Approach For
  Wildfire Danger Forecasting
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting
Mohamad Hakam Shams Eddin
R. Roscher
Juergen Gall
32
11
0
16 Dec 2022
Exploring Self-Attention for Crop-type Classification Explainability
Exploring Self-Attention for Crop-type Classification Explainability
Ivica Obadic
R. Roscher
Dario Augusto Borges Oliveira
Xiao Xiang Zhu
30
7
0
24 Oct 2022
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite
  Time Series
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series
Vivien Sainte Fare Garnot
Loic Landrieu
N. Chehata
15
91
0
14 Dec 2021
TCCT: Tightly-Coupled Convolutional Transformer on Time Series
  Forecasting
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
Li Shen
Yangzhu Wang
AI4TS
35
92
0
29 Aug 2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional
  Temporal Attention Networks
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot
Loic Landrieu
AI4TS
71
151
0
16 Jul 2021
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
236
7,906
0
13 Jun 2015
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