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Towards a Collective Agenda on AI for Earth Science Data Analysis

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
ArXiv (abs)PDFHTML

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
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
270
0
0
14 Sep 2024
Integrating Domain Knowledge in Data-driven Earth Observation with
  Process Convolutions
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions
D. Svendsen
M. Piles
Jordi Munoz-Marí
D. Luengo
Luca Martino
Gustau Camps-Valls
51
15
0
16 Apr 2021
Learning a Dynamic Map of Visual Appearance
Learning a Dynamic Map of Visual Appearance
Tawfiq Salem
Scott Workman
Nathan Jacobs
3DH
65
27
0
29 Dec 2020
Causal Inference in Geoscience and Remote Sensing from Observational
  Data
Causal Inference in Geoscience and Remote Sensing from Observational Data
Adrián Pérez-Suay
Gustau Camps-Valls
CML
53
31
0
07 Dec 2020
Machine Learning Information Fusion in Earth Observation: A
  Comprehensive Review of Methods, Applications and Data Sources
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
78
180
0
07 Dec 2020
Living in the Physics and Machine Learning Interplay for Earth
  Observation
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
PINNAI4CE
34
6
0
18 Oct 2020
Contextual Semantic Interpretability
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
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
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
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
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
158
0
07 Jun 2020
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
Di Hu
Xuhong Li
Lichao Mou
P. Jin
Dong Chen
L. Jing
Xiaoxiang Zhu
Dejing Dou
50
6
0
18 May 2020
Where am I looking at? Joint Location and Orientation Estimation by
  Cross-View Matching
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Yujiao Shi
Xin Yu
Dylan Campbell
Hongdong Li
67
174
0
08 May 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
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
83
0
17 Mar 2020
RSVQA: Visual Question Answering for Remote Sensing Data
RSVQA: Visual Question Answering for Remote Sensing Data
Sylvain Lobry
Diego Marcos
J. Murray
D. Tuia
113
221
0
16 Mar 2020
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in
  Aerial Videos
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos
Lichao Mou
Yuansheng Hua
P. Jin
Xiaoxiang Zhu
AI4TS
102
44
0
30 Jan 2020
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
406
282
0
07 Oct 2019
Semantically Interpretable Activation Maps: what-where-how explanations
  within CNNs
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
Diego Marcos
Sylvain Lobry
D. Tuia
FAttMILM
47
28
0
18 Sep 2019
Learning Geo-Temporal Image Features
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
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
Optimal Feature Transport for Cross-View Image Geo-Localization
Yujiao Shi
Xin Yu
Liu Liu
Tong Zhang
Hongdong Li
ViT
50
162
0
11 Jul 2019
An unsupervised approach to Geographical Knowledge Discovery using
  street level and street network images
An unsupervised approach to Geographical Knowledge Discovery using street level and street network images
Stephen Law
Mateo Neira
SSL
43
16
0
18 Jun 2019
Explainable Machine Learning for Scientific Insights and Discoveries
Explainable Machine Learning for Scientific Insights and Discoveries
R. Roscher
B. Bohn
Marco F. Duarte
Jochen Garcke
XAI
104
675
0
21 May 2019
Understanding urban landuse from the above and ground perspectives: a
  deep learning, multimodal solution
Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution
Shivangi Srivastava
John E. Vargas-Muñoz
D. Tuia
84
138
0
05 May 2019
Country-wide high-resolution vegetation height mapping with Sentinel-2
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang
Konrad Schindler
Jan Dirk Wegner
MDE
51
156
0
30 Apr 2019
Bridging the Domain Gap for Ground-to-Aerial Image Matching
Bridging the Domain Gap for Ground-to-Aerial Image Matching
Krishna Regmi
M. Shah
68
154
0
24 Apr 2019
Deep Learning for Classification of Hyperspectral Data: A Comparative
  Review
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
98
479
0
24 Apr 2019
MFAS: Multimodal Fusion Architecture Search
MFAS: Multimodal Fusion Architecture Search
Juan-Manuel Perez-Rua
Valentin Vielzeuf
S. Pateux
M. Baccouche
F. Jurie
80
178
0
15 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really
  Learn
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
104
1,021
0
26 Feb 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
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
CMLOOD
119
334
0
30 Jan 2019
Sanity Checks for Saliency Maps
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAttAAMLXAI
152
1,970
0
08 Oct 2018
Interpretable Intuitive Physics Model
Interpretable Intuitive Physics Model
Tian-Chun Ye
Xinyu Wang
James Davidson
Abhinav Gupta
DRLAI4CE
70
57
0
29 Aug 2018
Discovering physical concepts with neural networks
Discovering physical concepts with neural networks
Raban Iten
Tony Metger
H. Wilming
L. D. Rio
R. Renner
PINNAI4CE
94
391
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
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
GAN
60
27
0
13 Jun 2018
Building Instance Classification Using Street View Images
Building Instance Classification Using Street View Images
Jian Kang
Marco Körner
Yuanyuan Wang
H. Taubenböck
Xiaoxiang Zhu
121
299
0
25 Feb 2018
VizWiz Grand Challenge: Answering Visual Questions from Blind People
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
862
0
22 Feb 2018
Multimodal Explanations: Justifying Decisions and Pointing to the
  Evidence
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
83
423
0
15 Feb 2018
Temporal Relational Reasoning in Videos
Temporal Relational Reasoning in Videos
Bolei Zhou
A. Andonian
Aude Oliva
Antonio Torralba
NAI
105
1,041
0
22 Nov 2017
Deep Learning for Physical Processes: Incorporating Prior Scientific
  Knowledge
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel de Bézenac
Arthur Pajot
Patrick Gallinari
PINNAI4CE
109
318
0
21 Nov 2017
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CEFedMLNAIAILaw
327
887
0
11 Nov 2017
Physics-guided Neural Networks (PGNN): An Application in Lake
  Temperature Modeling
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling
Arka Daw
Anuj Karpatne
William Watkins
J. Read
Vipin Kumar
PINN
63
536
0
31 Oct 2017
Fair Kernel Learning
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
Deep learning in remote sensing: a review
Xiaoxiang Zhu
D. Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
85
1,616
0
11 Oct 2017
A Unified Model for Near and Remote Sensing
A Unified Model for Near and Remote Sensing
Scott Workman
Menghua Zhai
David J. Crandall
Nathan Jacobs
67
59
0
09 Aug 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
189
1,615
0
05 Jun 2017
See, Hear, and Read: Deep Aligned Representations
See, Hear, and Read: Deep Aligned Representations
Y. Aytar
Carl Vondrick
Antonio Torralba
VLMAI4TS
100
136
0
03 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CMLBDL
217
749
0
24 May 2017
Towards seamless multi-view scene analysis from satellite to
  street-level
Towards seamless multi-view scene analysis from satellite to street-level
Sébastien Lefèvre
D. Tuia
Jan Dirk Wegner
T. Produit
Ahmed Samy Nassaar
74
67
0
23 May 2017
Theory-guided Data Science: A New Paradigm for Scientific Discovery from
  Data
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
993
0
27 Dec 2016
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
319
2,391
0
20 Dec 2016
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