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Embedding Earth: Self-supervised contrastive pre-training for dense land
  cover classification

Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification

11 March 2022
Michail Tarasiou
Stefanos Zafeiriou
    SSL
ArXiv (abs)PDFHTMLGithub (182★)

Papers citing "Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification"

33 / 33 papers shown
Title
DeepSatData: Building large scale datasets of satellite images for
  training machine learning models
DeepSatData: Building large scale datasets of satellite images for training machine learning models
Michail Tarasiou
Stefanos Zafeiriou
36
3
0
28 Apr 2021
Context-self contrastive pretraining for crop type semantic segmentation
Context-self contrastive pretraining for crop type semantic segmentation
Michail Tarasiou
R. Güler
Stefanos Zafeiriou
SSL
44
17
0
09 Apr 2021
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
102
692
0
15 Dec 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
77
686
0
18 Nov 2020
Unsupervised Learning of Dense Visual Representations
Unsupervised Learning of Dense Visual Representations
Pedro H. O. Pinheiro
Amjad Almahairi
Ryan Y. Benmalek
Florian Golemo
Aaron Courville
SSLMDE
100
193
0
11 Nov 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
546
2,098
0
28 Jul 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
151
4,547
0
23 Apr 2020
The 1st Agriculture-Vision Challenge: Methods and Results
The 1st Agriculture-Vision Challenge: Methods and Results
M. Chiu
Xingqian Xu
Kai Wang
Jennifer Hobbs
N. Hovakimyan
...
S. Innani
Prasad Dutande
Bhakti Baheti
Sanjay Talbar
Jianyu Tang
117
24
0
21 Apr 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
486
3,433
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
372
18,778
0
13 Feb 2020
Agriculture-Vision: A Large Aerial Image Database for Agricultural
  Pattern Analysis
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
M. Chiu
Xingqian Xu
Yunchao Wei
Zilong Huang
Alex Schwing
...
David Wilson
Adrian Tudor
N. Hovakimyan
Thomas S. Huang
Humphrey Shi
77
155
0
05 Jan 2020
Improving land cover segmentation across satellites using domain
  adaptation
Improving land cover segmentation across satellites using domain adaptation
Nadir Bengana
J. Heikkilä
48
25
0
25 Nov 2019
Satellite Image Time Series Classification with Pixel-Set Encoders and
  Temporal Self-Attention
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
Vivien Sainte Fare Garnot
Loic Landrieu
S. Giordano
N. Chehata
76
153
0
18 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
207
12,085
0
13 Nov 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
665
24,528
0
26 Jul 2019
BreizhCrops: A Time Series Dataset for Crop Type Mapping
BreizhCrops: A Time Series Dataset for Crop Type Mapping
M. Rußwurm
Charlotte Pelletier
Maximilian Zollner
Sébastien Lefèvre
Marco Korner
AI4TS
87
74
0
28 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
138
1,432
0
22 May 2019
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Yunsheng Li
Lu Yuan
Nuno Vasconcelos
SSeg
93
627
0
24 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,114
0
11 Oct 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
327
10,349
0
10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
179
3,465
0
05 May 2018
Multi-Temporal Land Cover Classification with Sequential Recurrent
  Encoders
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders
M. Rußwurm
Marco Körner
93
276
0
06 Feb 2018
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OODSSegVLMSSL
105
677
0
30 Aug 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV3DPCSSeg3DH
152
6,549
0
21 Jun 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,299
0
25 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
566
8,004
0
13 Jun 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
379
13,145
0
12 Mar 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
362
19,660
0
09 Mar 2015
MADE: Masked Autoencoder for Distribution Estimation
MADE: Masked Autoencoder for Distribution Estimation
M. Germain
Karol Gregor
Iain Murray
Hugo Larochelle
OODSyDaUQCV
172
868
0
12 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,625
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
178
1,849
0
20 Dec 2013
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