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Geography-Aware Self-Supervised Learning

Geography-Aware Self-Supervised Learning

19 November 2020
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
    SSL
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Papers citing "Geography-Aware Self-Supervised Learning"

50 / 133 papers shown
Title
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards
  Universal Interpretation for Earth Observation Imagery
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
Xin Guo
Jiangwei Lao
Bo Dang
Yingying Zhang
Lei Yu
...
Jian Wang
Jingdong Chen
Ming Yang
Yongjun Zhang
Yansheng Li
34
114
0
15 Dec 2023
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
S. Sastry
Xin Xing
A. Dhakal
Subash Khanal
Adeel Ahmad
Nathan Jacobs
34
5
0
13 Dec 2023
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
R. Roscher
M. Rußwurm
Caroline Gevaert
Michael C. Kampffmeyer
J. A. dos Santos
...
Ronny Hansch
Stine Hansen
Keiller Nogueira
Jonathan Prexl
D. Tuia
32
10
0
08 Dec 2023
DiffusionSat: A Generative Foundation Model for Satellite Imagery
DiffusionSat: A Generative Foundation Model for Satellite Imagery
Samar Khanna
Patrick Liu
Linqi Zhou
Chenlin Meng
Robin Rombach
Marshall Burke
David B. Lobell
Stefano Ermon
22
57
0
06 Dec 2023
Multitask Learning Can Improve Worst-Group Outcomes
Multitask Learning Can Improve Worst-Group Outcomes
Atharva Kulkarni
Lucio Dery
Amrith Rajagopal Setlur
Aditi Raghunathan
Ameet Talwalkar
Graham Neubig
32
1
0
05 Dec 2023
USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite
  Imagery
USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery
Jeremy Irvin
Lucas Tao
Joanne Zhou
Yuntao Ma
Langston Nashold
Benjamin Liu
Andrew Y. Ng
ViT
36
20
0
02 Dec 2023
C-SAW: Self-Supervised Prompt Learning for Image Generalization in
  Remote Sensing
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
Avigyan Bhattacharya
Mainak Singha
Ankit Jha
Biplab Banerjee
SSL
VLM
19
6
0
27 Nov 2023
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint
  Extraction from LiDAR Data with Limited Annotations
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
Anuja Vats
David Völgyes
Martijn Vermeer
Marius Pedersen
Kiran Raja
D. Fantin
Jacob Alexander Hay
SSL
16
3
0
02 Nov 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical
  Masked Autoencoders
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
A. Fuller
K. Millard
James R. Green
15
60
0
01 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
43
5
0
01 Nov 2023
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species
  Classification and Mapping
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
S. Sastry
Subash Khanal
A. Dhakal
Di Huang
Nathan Jacobs
40
9
0
29 Oct 2023
Exploring DINO: Emergent Properties and Limitations for Synthetic
  Aperture Radar Imagery
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery
Joseph A. Gallego-Mejia
Anna Jungbluth
Laura Martínez-Ferrer
Matt Allen
Francisco Dorr
F. Kalaitzis
Raúl Ramos-Pollán
26
3
0
05 Oct 2023
SSIF: Learning Continuous Image Representation for Spatial-Spectral
  Super-Resolution
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution
Gengchen Mai
Ni Lao
Weiwei Sun
Yuchi Ma
Jiaming Song
Chenlin Meng
Hongxu Ma
Jinmeng Rao
Ziyuan Li
Stefano Ermon
22
4
0
30 Sep 2023
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image
  Understanding
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
Mingming Zhang
Qingjie Liu
Yunhong Wang
30
5
0
28 Sep 2023
Learning to Drive Anywhere
Learning to Drive Anywhere
Ruizhao Zhu
Peng Huang
Eshed Ohn-Bar
Venkatesh Saligrama
25
6
0
21 Sep 2023
Self-supervised learning unveils change in urban housing from
  street-level images
Self-supervised learning unveils change in urban housing from street-level images
Steven Stalder
Michele Volpi
Nicolas Büttner
Stephen Law
K. Harttgen
Esra Suel
SSL
13
5
0
20 Sep 2023
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
Subash Khanal
S. Sastry
A. Dhakal
Nathan Jacobs
35
8
0
19 Sep 2023
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised
  Learning
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning
Mainak Singha
Ankit Jha
Biplab Banerjee
VLM
17
4
0
22 Aug 2023
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
Seokhyeon Ha
S. Jung
Jungwook Lee
14
3
0
15 Aug 2023
Self-Supervised Learning for Improved Synthetic Aperture Sonar Target
  Recognition
Self-Supervised Learning for Improved Synthetic Aperture Sonar Target Recognition
BW Sheffield
21
1
0
27 Jul 2023
Sphere2Vec: A General-Purpose Location Representation Learning over a
  Spherical Surface for Large-Scale Geospatial Predictions
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Gengchen Mai
Yao Xuan
Wen-Hang Zuo
Yutong He
Jiaming Song
Stefano Ermon
K. Janowicz
Ni Lao
19
39
0
30 Jun 2023
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large
  Vision-Language Model for Remote Sensing
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Zilun Zhang
Tiancheng Zhao
Yulong Guo
Jianwei Yin
DiffM
VLM
27
52
0
20 Jun 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
24
29
0
15 Jun 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and
  normalization matters
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Isaac Corley
Caleb Robinson
Rahul Dodhia
J. L. Ferres
Peyman Najafirad
39
14
0
22 May 2023
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspective
D. Tuia
Konrad Schindler
Begum Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
23
10
0
15 May 2023
Vision-Language Models in Remote Sensing: Current Progress and Future
  Trends
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
Xiang Li
Congcong Wen
Yuan Hu
Zhenghang Yuan
Xiao Xiang Zhu
VLM
16
71
0
09 May 2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for
  Geospatial-Visual Representations
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Gengchen Mai
Ni Lao
Yutong He
Jiaming Song
Stefano Ermon
78
58
0
01 May 2023
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Gabriel Tseng
Ruben Cartuyvels
Ivan Zvonkov
Mirali Purohit
David Rolnick
Hannah Kerner
72
60
0
27 Apr 2023
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing
  Image Understanding
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding
Dilxat Muhtar
Xue-liang Zhang
P. Xiao
Zhenshi Li
Feng-Xue Gu
SSL
29
48
0
19 Apr 2023
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using
  geographical coordinates
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
V. Marsocci
Nicolas Gonthier
A. Garioud
Simone Scardapane
Clement Mallet
19
11
0
16 Apr 2023
On the Opportunities and Challenges of Foundation Models for Geospatial
  Artificial Intelligence
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Gengchen Mai
Weiming Huang
Jin Sun
Suhang Song
Deepak Mishra
...
Yingjie Hu
Chris Cundy
Ziyuan Li
Rui Zhu
Ni Lao
AI4CE
22
118
0
13 Apr 2023
A Billion-scale Foundation Model for Remote Sensing Images
A Billion-scale Foundation Model for Remote Sensing Images
Keumgang Cha
Junghoon Seo
Taekyung Lee
30
63
0
11 Apr 2023
A Survey of Historical Learning: Learning Models with Learning History
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MU
AI4TS
23
2
0
23 Mar 2023
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial
  Expression Recognition in the Wild
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild
Ji-Hee Moon
Seongsik Park
24
0
0
14 Mar 2023
Extending global-local view alignment for self-supervised learning with
  remote sensing imagery
Extending global-local view alignment for self-supervised learning with remote sensing imagery
Xinye Wanyan
Sachith Seneviratne
Shuchang Shen
M. Kirley
65
18
0
12 Mar 2023
Extended Agriculture-Vision: An Extension of a Large Aerial Image
  Dataset for Agricultural Pattern Analysis
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis
Jing Wu
David Pichler
D. Marley
David Wilson
N. Hovakimyan
Jennifer Hobbs
37
22
0
04 Mar 2023
Multispectral Contrastive Learning with Viewmaker Networks
Multispectral Contrastive Learning with Viewmaker Networks
Jasmine Bayrooti
Noah D. Goodman
Alex Tamkin
23
1
0
11 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
38
63
0
09 Feb 2023
Self-Supervised In-Domain Representation Learning for Remote Sensing
  Image Scene Classification
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
Ali Ghanbarzade
Hossein Soleimani
SSL
11
10
0
03 Feb 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial
  Representation Learning
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado Reed
Ritwik Gupta
Shufan Li
S. Brockman
Christopher Funk
Brian Clipp
Kurt Keutzer
Salvatore Candido
M. Uyttendaele
Trevor Darrell
113
169
0
30 Dec 2022
Contrastive pretraining for semantic segmentation is robust to noisy
  positive pairs
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
Sebastian Gerard
Josephine Sullivan
24
1
0
24 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
19
56
0
15 Nov 2022
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Yi Wang
Nassim Ait Ali Braham
Zhitong Xiong
Chenying Liu
C. Albrecht
Xiao Xiang Zhu
26
71
0
13 Nov 2022
Rare Wildlife Recognition with Self-Supervised Representation Learning
Rare Wildlife Recognition with Self-Supervised Representation Learning
Xiaochen Zheng
SSL
17
2
0
29 Oct 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
24
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
20
1
0
21 Oct 2022
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning
  for Multi-Resolution Satellite Imagery
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
Jules Bourcier
G. Dashyan
Jocelyn Chanussot
Alahari Karteek
SSL
8
4
0
13 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained
  Models
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
VLM
28
40
0
07 Oct 2022
Improving Image Clustering through Sample Ranking and Its Application to
  remote--sensing images
Improving Image Clustering through Sample Ranking and Its Application to remote--sensing images
Qing Li
Guoping Qiu
29
2
0
26 Sep 2022
Multimodal contrastive learning for remote sensing tasks
Multimodal contrastive learning for remote sensing tasks
Umang Jain
Alex Wilson
Varun Gulshan
SSL
28
24
0
06 Sep 2022
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