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TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift
  Estimation
v1v2v3 (latest)

TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation

4 November 2021
Joachim Nyborg
Charlotte Pelletier
Sébastien Lefèvre
Ira Assent
    OODAI4TS
ArXiv (abs)PDFHTML

Papers citing "TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation"

11 / 11 papers shown
Title
Reuse out-of-year data to enhance land cover mappingvia feature
  disentanglement and contrastive learning
Reuse out-of-year data to enhance land cover mappingvia feature disentanglement and contrastive learning
C. Dantas
R. Gaetano
Claudia Paris
Dino Ienco
66
0
0
17 Apr 2024
Deep Learning for Satellite Image Time Series Analysis: A Review
Deep Learning for Satellite Image Time Series Analysis: A Review
Lynn Miller
Charlotte Pelletier
Geoffrey I. Webb
87
26
0
05 Apr 2024
Deep Unsupervised Domain Adaptation for Time Series Classification: a
  Benchmark
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
Hassan Ismail Fawaz
Ganesh Del Grosso
Tanguy Kerdoncuff
Aurélie Boisbunon
Illyyne Saffar
AI4TS
68
2
0
15 Dec 2023
Match-And-Deform: Time Series Domain Adaptation through Optimal
  Transport and Temporal Alignment
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment
Franccois Painblanc
Laetitia Chapel
Nicolas Courty
Chloé Friguet
Charlotte Pelletier
R. Tavenard
AI4TSOOD
65
7
0
24 Aug 2023
Boosting Crop Classification by Hierarchically Fusing Satellite,
  Rotational, and Contextual Data
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data
Valentin Barrière
M. Claverie
M. Schneider
G. Lemoine
R. d’Andrimont
70
21
0
19 May 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
90
11
0
16 Dec 2022
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Brandon Victor
Zhen He
Aiden Nibali
149
9
0
03 Oct 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and
  Perspectives
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Xiaofeng Liu
Chaehwa Yoo
Fangxu Xing
Hyejin Oh
Xiaofeng Liu
Je-Won Kang
Jonghye Woo
OOD
121
207
0
15 Aug 2022
Self-supervised learning -- A way to minimize time and effort for
  precision agriculture?
Self-supervised learning -- A way to minimize time and effort for precision agriculture?
Michael Marszalek
Bertrand Le Saux
P. Mathieu
A. Nowakowski
Daniel Springer
66
7
0
05 Apr 2022
A Sentinel-2 multi-year, multi-country benchmark dataset for crop
  classification and segmentation with deep learning
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
Dimitrios Sykas
Maria Sdraka
Dimitrios Zografakis
Ioannis Papoutsis
115
39
0
02 Apr 2022
Generalized Classification of Satellite Image Time Series with Thermal
  Positional Encoding
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding
Joachim Nyborg
Charlotte Pelletier
Ira Assent
85
19
0
17 Mar 2022
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