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Tile2Vec: Unsupervised representation learning for spatially distributed
  data

Tile2Vec: Unsupervised representation learning for spatially distributed data

8 May 2018
Neal Jean
Sherrie Wang
Anshul Samar
G. Azzari
David B. Lobell
Stefano Ermon
    SSL
ArXivPDFHTML

Papers citing "Tile2Vec: Unsupervised representation learning for spatially distributed data"

33 / 33 papers shown
Title
Predicting butterfly species presence from satellite imagery using soft contrastive regularisation
Predicting butterfly species presence from satellite imagery using soft contrastive regularisation
Thijs L van der Plas
Stephen Law
Michael JO Pocock
29
0
0
14 May 2025
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
Jinlin Li
Xiao Zhou
46
0
0
13 Jan 2025
A community palm model
A community palm model
Nicholas Clinton
Andreas Vollrath
R. D’Ánnunzio
Desheng Liu
Henry B. Glick
...
D. Saah
Karis Tenneson
N. H. Quyen
Megha Verma
Andrew Wilcox
19
0
0
01 May 2024
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for
  Remote Sensing
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
Zhecheng Wang
R. Prabha
Tianyuan Huang
Jiajun Wu
Ram Rajagopal
34
55
0
20 Dec 2023
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart
Nils Lehmann
Isaac Corley
Yi Wang
Yi-Chia Chang
Nassim Ait Ali Braham
Shradha Sehgal
Caleb Robinson
Arindam Banerjee
35
29
0
15 Jun 2023
Knowledge-infused Contrastive Learning for Urban Imagery-based
  Socioeconomic Prediction
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction
Yu Liu
Xin Zhang
Jingtao Ding
Yanxin Xi
Yong Li
19
34
0
25 Feb 2023
Towards Geospatial Foundation Models via Continual Pretraining
Towards Geospatial Foundation Models via Continual Pretraining
Matías Mendieta
Boran Han
Xingjian Shi
Yi Zhu
Chen Chen
VLM
AI4CE
48
65
0
09 Feb 2023
Supervised and Contrastive Self-Supervised In-Domain Representation
  Learning for Dense Prediction Problems in Remote Sensing
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing
Ali Ghanbarzade
Hossein Soleimani
SSL
36
0
0
29 Jan 2023
A Contextual Master-Slave Framework on Urban Region Graph for Urban
  Village Detection
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Congxi Xiao
Jingbo Zhou
Jizhou Huang
Hengshu Zhu
Tong Xu
Dejing Dou
Hui Xiong
31
15
0
26 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
31
56
0
15 Nov 2022
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image
  Sequences: From Feature Engineering to Attention-Based Neural Networks
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks
A. S. Bansal
Yoonjin Lee
Kyle Hilburn
I. Ebert‐Uphoff
AI4TS
38
2
0
22 Oct 2022
Self-Supervised Pretraining on Satellite Imagery: a Case Study on
  Label-Efficient Vehicle Detection
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules Bourcier
Thomas Floquet
G. Dashyan
Tugdual Ceillier
Alahari Karteek
Jocelyn Chanussot
SSL
30
1
0
21 Oct 2022
Transfer Learning with Pretrained Remote Sensing Transformers
Transfer Learning with Pretrained Remote Sensing Transformers
A. Fuller
K. Millard
J.R. Green
35
11
0
28 Sep 2022
Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With
  Application to Super-Resolution
Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-Resolution
Julien Cornebise
Ivan Orsolic
F. Kalaitzis
27
54
0
13 Jul 2022
Self Supervised Learning for Few Shot Hyperspectral Image Classification
Self Supervised Learning for Few Shot Hyperspectral Image Classification
Nassim Ait Ali Braham
Lichao Mou
Jocelyn Chanussot
Julien Mairal
Xiao Xiang Zhu
24
12
0
24 Jun 2022
Semantic-aware Dense Representation Learning for Remote Sensing Image
  Change Detection
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen
Wenyuan Li
Songhang Chen
Zhenwei Shi
33
38
0
27 May 2022
Learning latent representations for operational nitrogen response rate
  prediction
Learning latent representations for operational nitrogen response rate prediction
Christos Pylianidis
Ioannis Athanasiadis
AI4CE
28
1
0
18 May 2022
Activation Regression for Continuous Domain Generalization with
  Applications to Crop Classification
Activation Regression for Continuous Domain Generalization with Applications to Crop Classification
Samarth Khanna
Bram Wallace
Kavita Bala
B. Hariharan
34
0
0
14 Apr 2022
Resolving label uncertainty with implicit posterior models
Resolving label uncertainty with implicit posterior models
Esther Rolf
Nikolay Malkin
Alexandros Graikos
A. Jojic
Caleb Robinson
Nebojsa Jojic
UQCV
36
10
0
28 Feb 2022
Effective Urban Region Representation Learning Using Heterogeneous Urban
  Graph Attention Network (HUGAT)
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)
Namwoo Kim
Yoonjin Yoon
AI4TS
26
9
0
18 Feb 2022
AtmoDist: Self-supervised Representation Learning for Atmospheric
  Dynamics
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics
Sebastian Hoffmann
C. Lessig
AI4Cl
31
8
0
02 Feb 2022
Extracting Built Environment Features for Planning Research with
  Computer Vision: A Review and Discussion of State-of-the-Art Approaches
Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches
Meiqing Li
Hao Sheng
16
2
0
30 Jan 2022
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short
  crops
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops
S. D. Tommaso
Sherrie Wang
David B. Lobell
32
37
0
10 Sep 2021
Contrastive Multiview Coding with Electro-optics for SAR Semantic
  Segmentation
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation
Keumgang Cha
Junghoon Seo
Yeji Choi
40
29
0
31 Aug 2021
Topo2vec: Topography Embedding Using the Fractal Effect
Topo2vec: Topography Embedding Using the Fractal Effect
Jonathan Kavitzky
Jonathan Zarecki
Idan Brusilovsky
Uriel Singer
14
0
0
19 Aug 2021
Clustering augmented Self-Supervised Learning: Anapplication to Land
  Cover Mapping
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping
Rahul Ghosh
X. Jia
Chenxi Lin
Zhenong Jin
Vipin Kumar
SSL
35
9
0
16 Aug 2021
Representation Learning for Remote Sensing: An Unsupervised Sensor
  Fusion Approach
Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
Aidan M. Swope
X. Rudelis
Kyle T. Story
SSL
34
20
0
11 Aug 2021
Geography-Aware Self-Supervised Learning
Geography-Aware Self-Supervised Learning
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
37
228
0
19 Nov 2020
The color out of space: learning self-supervised representations for
  Earth Observation imagery
The color out of space: learning self-supervised representations for Earth Observation imagery
Stefano Vincenzi
Angelo Porrello
Pietro Buzzega
Marco Cipriano
Pietro Fronte
Roberto Cuccu
C. Ippoliti
A. Conte
Simone Calderara
SSL
26
63
0
22 Jun 2020
Effective Data Fusion with Generalized Vegetation Index: Evidence from
  Land Cover Segmentation in Agriculture
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture
Hao Sheng
Xiao Chen
Jingyi Su
Ram Rajagopal
Andrew Y. Ng
31
31
0
07 May 2020
GeoStyle: Discovering Fashion Trends and Events
GeoStyle: Discovering Fashion Trends and Events
Utkarsh Mall
Kevin Blackburn-Matzen
B. Hariharan
Noah Snavely
Kavita Bala
26
62
0
29 Aug 2019
A Theoretical Analysis of Contrastive Unsupervised Representation
  Learning
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
SSL
62
764
0
25 Feb 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,553
0
25 Jan 2016
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