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1902.06148
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BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding
16 February 2019
Gencer Sumbul
Marcela Charfuelan
Begum Demir
Volker Markl
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Papers citing
"BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding"
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Title
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
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Fahong Zhang
Yi Wang
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Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing
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Kai Norman Clasen
Mahdyar Ravanbakhsh
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Semantic Segmentation of Vegetation in Remote Sensing Imagery Using Deep Learning
Alexandru Munteanu
Marian Neagul
11
0
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28 Sep 2022
Transfer Learning with Pretrained Remote Sensing Transformers
A. Fuller
K. Millard
J.R. Green
25
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28 Sep 2022
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
Lorenzo Bonicelli
Angelo Porrello
Stefano Vincenzi
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07 Sep 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
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Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
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VLM
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10 Aug 2022
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification
Tom Burgert
Mahdyar Ravanbakhsh
Begum Demir
NoLa
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17
0
28 Jul 2022
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
B. Zhu
Nicholas Lui
Jeremy Irvin
Jimmy Le
Sahil Tadwalkar
Chenghao Wang
Zutao Ouyang
Frankie Y. Liu
Andrew Y. Ng
R. Jackson
14
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0
22 Jul 2022
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany
Dominik Koßmann
Viktor Brack
T. Wilhelm
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6
9
0
19 Jul 2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Yezhen Cong
Samarth Khanna
Chenlin Meng
Patrick Liu
Erik Rozi
Yutong He
Marshall Burke
David B. Lobell
Stefano Ermon
ViT
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0
17 Jul 2022
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification
I. Dimitrovski
Ivan Kitanovski
D. Kocev
Nikola Simidjievski
VLM
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0
14 Jul 2022
Self-supervised Learning in Remote Sensing: A Review
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C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
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27 Jun 2022
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection
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Nithin Gopalakrishnan Nair
Vishal M. Patel
DiffM
16
4
0
23 Jun 2022
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
33
25
0
23 May 2022
Towards Space-to-Ground Data Availability for Agriculture Monitoring
George Choumos
Alkiviadis Koukos
Vasileios Sitokonstantinou
C. Kontoes
37
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0
16 May 2022
Activation Regression for Continuous Domain Generalization with Applications to Crop Classification
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Bram Wallace
Kavita Bala
B. Hariharan
23
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0
14 Apr 2022
An Empirical Study of Remote Sensing Pretraining
Di Wang
Jing Zhang
Bo Du
Guisong Xia
Dacheng Tao
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31
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0
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A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
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Maria Sdraka
Dimitrios Zografakis
Ioannis Papoutsis
17
36
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02 Apr 2022
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning
C. Albrecht
F. Marianno
L. Klein
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8
12
0
31 Jan 2022
AiTLAS: Artificial Intelligence Toolbox for Earth Observation
I. Dimitrovski
Ivan Kitanovski
P. Panov
Nikola Simidjievski
D. Kocev
16
10
0
21 Jan 2022
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
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Matthew Purri
Matthew J. Leotta
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19
58
0
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Benchmarking and scaling of deep learning models for land cover image classification
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N. Bountos
Angelos Zavras
Dimitrios Michail
Christos Tryfonopoulos
11
55
0
18 Nov 2021
TorchGeo: Deep Learning With Geospatial Data
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Caleb Robinson
Isaac Corley
Anthony Ortiz
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SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Christopher Yeh
Chenlin Meng
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Anne Driscoll
Erik Rozi
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Marshall Burke
David B. Lobell
Stefano Ermon
59
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08 Nov 2021
Do we still need ImageNet pre-training in remote sensing scene classification?
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Vladan Stojnić
25
11
0
05 Nov 2021
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
Yi Wang
S. M. A. Bashir
Mahrukh Khan
Qudrat Ullah
Rui Wang
Yilin Song
Zhe Guo
Yilong Niu
16
141
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RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning
G. Marchisio
P. Helber
B. Bischke
T. Davis
Çaglar Senaras
D. Zanaga
R. Van De Kerchove
A. Wania
57
5
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05 Oct 2021
How to find a good image-text embedding for remote sensing visual question answering?
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Sylvain Lobry
B. Kellenberger
Bertrand Le Saux
D. Tuia
34
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0
24 Sep 2021
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
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Daniela A. Zaidenberg
D. Spiller
Bertrand Le Saux
Silvia Liberata Ullo
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20 Sep 2021
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space
L. Scheibenreif
Michael Mommert
Damian Borth
8
12
0
31 Aug 2021
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
Chitra Agastya
Sirak Ghebremusse
I. Anderson
Colorado Reed
H. Vahabi
Alberto Todeschini
18
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0
12 Aug 2021
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
Rahul Ghosh
Praveen Ravirathinam
X. Jia
A. Khandelwal
David Mulla
Vipin Kumar
15
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26 Jul 2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives
Abhishek Kumar
Harikrishna Narasimhan
Andrew Cotter
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JUWELS Booster -- A Supercomputer for Large-Scale AI Research
Stefan Kesselheim
A. Herten
K. Krajsek
J. Ebert
J. Jitsev
...
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Martin G. Schultz
M. Riedel
T. Lippert
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A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval
Gencer Sumbul
Begum Demir
16
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BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
Gencer Sumbul
Arne de Wall
Tristan Kreuziger
F. Marcelino
H. Costa
P. Benevides
M. Caetano
Begum Demir
Volker Markl
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125
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A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels
A. Aksoy
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24
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Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval
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Generative modeling of spatio-temporal weather patterns with extreme event conditioning
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Sudipan Saha
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Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks
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Lichao Mou
Jianzhe Lin
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31
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EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
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V. Benson
Markus Reichstein
J. Runge
Joachim Denzler
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Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
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MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
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Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
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Remote Sensing Image Classification with the SEN12MS Dataset
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Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
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Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification
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