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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"

33 / 133 papers shown
Title
Learning crop type mapping from regional label proportions in
  large-scale SAR and optical imagery
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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?
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
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
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
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
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
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
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?
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
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
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
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
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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