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2104.05107
Cited By
Towards a Collective Agenda on AI for Earth Science Data Analysis
11 April 2021
D. Tuia
R. Roscher
Jan Dirk Wegner
Nathan Jacobs
Xiaoxiang Zhu
Gustau Camps-Valls
AI4CE
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Papers citing
"Towards a Collective Agenda on AI for Earth Science Data Analysis"
50 / 57 papers shown
Title
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
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Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions
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51
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29 Dec 2020
Causal Inference in Geoscience and Remote Sensing from Observational Data
Adrián Pérez-Suay
Gustau Camps-Valls
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53
31
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07 Dec 2020
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
S. Salcedo-Sanz
Pedram Ghamisi
M. Piles
M. Werner
L. Cuadra
Á. Moreno-Martínez
E. Izquierdo-Verdiguier
Jordi Munoz-Marí
Amir H. Mosavi
G. Camps-Valls
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07 Dec 2020
Living in the Physics and Machine Learning Interplay for Earth Observation
Gustau Camps-Valls
D. Svendsen
Jordi Cortés-Andrés
Álvaro Moreno-Martínez
Adrián Pérez-Suay
J. Adsuara
I. Martín
M. Piles
Jordi Munoz-Marí
Luca Martino
PINN
AI4CE
34
6
0
18 Oct 2020
Contextual Semantic Interpretability
Diego Marcos
Ruth C. Fong
Sylvain Lobry
Rémi Flamary
Nicolas Courty
D. Tuia
SSL
108
28
0
18 Sep 2020
Water level prediction from social media images with a multi-task ranking approach
P. Chaudhary
Stefano Dáronco
J. Leitão
K. Schindler
Jan Dirk Wegner
51
47
0
14 Jul 2020
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
John E. Vargas-Muñoz
Shivangi Srivastava
D. Tuia
A. X. Falcão
54
110
0
13 Jul 2020
SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning
Gencer Sumbul
Sonali Nayak
Begüm Demir
56
77
0
15 Jun 2020
Robust Learning Through Cross-Task Consistency
Amir Zamir
Alexander Sax
Teresa Yeo
Oğuzhan Fatih Kar
Nikhil Cheerla
Rohan Suri
Zhangjie Cao
Jitendra Malik
Leonidas Guibas
OOD
60
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0
07 Jun 2020
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
Di Hu
Xuhong Li
Lichao Mou
P. Jin
Dong Chen
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Xiaoxiang Zhu
Dejing Dou
50
6
0
18 May 2020
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Yujiao Shi
Xin Yu
Dylan Campbell
Hongdong Li
67
174
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08 May 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
114
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0
17 Mar 2020
RSVQA: Visual Question Answering for Remote Sensing Data
Sylvain Lobry
Diego Marcos
J. Murray
D. Tuia
113
221
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16 Mar 2020
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos
Lichao Mou
Yuansheng Hua
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Xiaoxiang Zhu
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102
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30 Jan 2020
Learning De-biased Representations with Biased Representations
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Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
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406
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0
07 Oct 2019
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
Diego Marcos
Sylvain Lobry
D. Tuia
FAtt
MILM
47
28
0
18 Sep 2019
Learning Geo-Temporal Image Features
Menghua Zhai
Tawfiq Salem
Connor Greenwell
Scott Workman
Robert Pless
Nathan Jacobs
3DH
56
18
0
16 Sep 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks
M. Losch
Mario Fritz
Bernt Schiele
UQCV
64
63
0
25 Jul 2019
Optimal Feature Transport for Cross-View Image Geo-Localization
Yujiao Shi
Xin Yu
Liu Liu
Tong Zhang
Hongdong Li
ViT
50
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11 Jul 2019
An unsupervised approach to Geographical Knowledge Discovery using street level and street network images
Stephen Law
Mateo Neira
SSL
43
16
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18 Jun 2019
Explainable Machine Learning for Scientific Insights and Discoveries
R. Roscher
B. Bohn
Marco F. Duarte
Jochen Garcke
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104
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21 May 2019
Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution
Shivangi Srivastava
John E. Vargas-Muñoz
D. Tuia
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05 May 2019
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang
Konrad Schindler
Jan Dirk Wegner
MDE
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156
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30 Apr 2019
Bridging the Domain Gap for Ground-to-Aerial Image Matching
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M. Shah
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154
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24 Apr 2019
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
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Bertrand Le Saux
Sébastien Lefèvre
98
479
0
24 Apr 2019
MFAS: Multimodal Fusion Architecture Search
Juan-Manuel Perez-Rua
Valentin Vielzeuf
S. Pateux
M. Baccouche
F. Jurie
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0
15 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
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S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
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0
26 Feb 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio
T. Deleu
Nasim Rahaman
Nan Rosemary Ke
Sébastien Lachapelle
O. Bilaniuk
Anirudh Goyal
C. Pal
CML
OOD
119
334
0
30 Jan 2019
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAtt
AAML
XAI
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08 Oct 2018
Interpretable Intuitive Physics Model
Tian-Chun Ye
Xinyu Wang
James Davidson
Abhinav Gupta
DRL
AI4CE
70
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0
29 Aug 2018
Discovering physical concepts with neural networks
Raban Iten
Tony Metger
H. Wilming
L. D. Rio
R. Renner
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94
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0
26 Jul 2018
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks
XueQing Deng
Yi Zhu
Shawn D. Newsam
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13 Jun 2018
Building Instance Classification Using Street View Images
Jian Kang
Marco Körner
Yuanyuan Wang
H. Taubenböck
Xiaoxiang Zhu
121
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25 Feb 2018
VizWiz Grand Challenge: Answering Visual Questions from Blind People
Danna Gurari
Qing Li
Abigale Stangl
Anhong Guo
Chi Lin
Kristen Grauman
Jiebo Luo
Jeffrey P. Bigham
CoGe
116
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22 Feb 2018
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Anna Rohrbach
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
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15 Feb 2018
Temporal Relational Reasoning in Videos
Bolei Zhou
A. Andonian
Aude Oliva
Antonio Torralba
NAI
105
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22 Nov 2017
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel de Bézenac
Arthur Pajot
Patrick Gallinari
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109
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21 Nov 2017
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
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FedML
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AILaw
327
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11 Nov 2017
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling
Arka Daw
Anuj Karpatne
William Watkins
J. Read
Vipin Kumar
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63
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31 Oct 2017
Fair Kernel Learning
Adrián Pérez-Suay
Valero Laparra
Gonzalo Mateo-García
Jordi Munoz-Marí
L. Gómez-Chova
Gustau Camps-Valls
FaML
65
84
0
16 Oct 2017
Deep learning in remote sensing: a review
Xiaoxiang Zhu
D. Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
85
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0
11 Oct 2017
A Unified Model for Near and Remote Sensing
Scott Workman
Menghua Zhai
David J. Crandall
Nathan Jacobs
67
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09 Aug 2017
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
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189
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05 Jun 2017
See, Hear, and Read: Deep Aligned Representations
Y. Aytar
Carl Vondrick
Antonio Torralba
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100
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Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
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217
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24 May 2017
Towards seamless multi-view scene analysis from satellite to street-level
Sébastien Lefèvre
D. Tuia
Jan Dirk Wegner
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74
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23 May 2017
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
Anuj Karpatne
G. Atluri
James H. Faghmous
M. Steinbach
A. Banerjee
A. Ganguly
Shashi Shekhar
N. Samatova
Vipin Kumar
AI4CE
72
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CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
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Ross B. Girshick
CoGe
319
2,391
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20 Dec 2016
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