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2011.09980
Cited By
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"
33 / 133 papers shown
Title
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery
L. E. L. Rosa
Dario Augusto Borges Oliveira
Pedram Ghamisi
13
7
0
24 Aug 2022
Matching Multiple Perspectives for Efficient Representation Learning
Omiros Pantazis
M. Salvaris
SSL
22
0
0
16 Aug 2022
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
Di Wang
Qiming Zhang
Yufei Xu
Jing Zhang
Bo Du
Dacheng Tao
L. Zhang
23
242
0
08 Aug 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
17
249
0
17 Jul 2022
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain
Tong Zhang
Peng Gao
Hao-Chen Dong
Zhuang Yin
Guanqun Wang
Wei Zhang
He Chen
20
33
0
08 Jul 2022
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
14
218
0
27 Jun 2022
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection
W. G. C. Bandara
Nithin Gopalakrishnan Nair
Vishal M. Patel
DiffM
16
4
0
23 Jun 2022
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen
Wenyuan Li
Songhang Chen
Zhenwei Shi
15
38
0
27 May 2022
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
28
25
0
23 May 2022
Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images
P. Jain
Bianca Schoen-Phelan
R. Ross
16
32
0
04 May 2022
Hephaestus: A large scale multitask dataset towards InSAR understanding
N. Bountos
Ioannis Papoutsis
Dimitrios Michail
Andreas Karavias
P. Elias
I. Parcharidis
37
12
0
20 Apr 2022
Activation Regression for Continuous Domain Generalization with Applications to Crop Classification
Samarth Khanna
Bram Wallace
Kavita Bala
B. Hariharan
18
0
0
14 Apr 2022
Self-supervised Vision Transformers for Joint SAR-optical Representation Learning
Yi Wang
C. Albrecht
Xiaoxiang Zhu
ViT
19
49
0
11 Apr 2022
An Empirical Study of Remote Sensing Pretraining
Di Wang
Jing Zhang
Bo Du
Guisong Xia
Dacheng Tao
EDL
23
190
0
06 Apr 2022
Self-Supervision, Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations
Sachith Seneviratne
K. Nice
J. Wijnands
Mark Stevenson
Jason Thompson
SSL
25
8
0
08 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
39
640
0
21 Feb 2022
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing
Georgii Mikriukov
Mahdyar Ravanbakhsh
Begum Demir
14
38
0
20 Jan 2022
A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning
A. S. Bansal
Trapit Bansal
David E. Irwin
AI4TS
17
7
0
28 Dec 2021
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
Peri Akiva
Matthew Purri
Matthew J. Leotta
SSL
19
58
0
03 Dec 2021
Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks
Chaitanya Patel
Shashank Sharma
Valerie J. Pasquarella
Varun Gulshan
SSL
16
14
0
19 Nov 2021
TorchGeo: Deep Learning With Geospatial Data
Adam J. Stewart
Caleb Robinson
Isaac Corley
Anthony Ortiz
J. L. Ferres
Arindam Banerjee
3DPC
24
76
0
17 Nov 2021
Do we still need ImageNet pre-training in remote sensing scene classification?
Vladimir Risojević
Vladan Stojnić
22
11
0
05 Nov 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans
Yuki M. Asano
Christian Rupprecht
Andrew Zisserman
Andrea Vedaldi
VLM
SSL
13
57
0
27 Sep 2021
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation
Keumgang Cha
Junghoon Seo
Yeji Choi
27
29
0
31 Aug 2021
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images
Xiaochen Zheng
B. Kellenberger
R. Gong
I. Hajnsek
D. Tuia
8
12
0
17 Aug 2021
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
SSL
23
30
0
14 Aug 2021
Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
Qing Li
Bin Li
J. Garibaldi
Guoping Qiu
SSL
19
4
0
13 Jul 2021
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li
Keyan Chen
Hao Chen
Zhenwei Shi
SSL
38
64
0
12 Jul 2021
When Does Contrastive Visual Representation Learning Work?
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge J. Belongie
SSL
21
123
0
12 May 2021
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
Vladan Stojnić
Vladimir Risojević
SSL
9
108
0
14 Apr 2021
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Oscar Manas
Alexandre Lacoste
Xavier Giró-i-Nieto
David Vazquez
Pau Rodríguez López
9
258
0
30 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
23
104
0
23 Mar 2021
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
243
3,367
0
09 Mar 2020
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