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In-domain representation learning for remote sensing

In-domain representation learning for remote sensing

15 November 2019
Maxim Neumann
André Susano Pinto
Xiaohua Zhai
N. Houlsby
    SSL
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Papers citing "In-domain representation learning for remote sensing"

12 / 12 papers shown
Title
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Pierre Adorni
M. Pham
Stéphane May
Sébastien Lefèvre
44
0
0
06 May 2025
Towards a Unified Copernicus Foundation Model for Earth Vision
Towards a Unified Copernicus Foundation Model for Earth Vision
Yi Wang
Zhitong Xiong
Chenying Liu
Adam J. Stewart
Thomas Dujardin
...
Angelos Zavras
Franziska Gerken
Ioannis Papoutsis
Laura Leal-Taixé
Xiao Xiang Zhu
44
1
0
14 Mar 2025
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert
Tim Siebert
Kai Norman Clasen
Begum Demir
Begüm Demir
37
1
0
22 May 2024
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
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
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
22
1
0
21 Oct 2022
Learning latent representations for operational nitrogen response rate
  prediction
Learning latent representations for operational nitrogen response rate prediction
Christos Pylianidis
Ioannis Athanasiadis
AI4CE
20
1
0
18 May 2022
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
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
24
9
0
16 Aug 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
Damage detection using in-domain and cross-domain transfer learning
Damage detection using in-domain and cross-domain transfer learning
Z. Bukhsh
N. Jansen
Aaqib Saeed
26
42
0
07 Feb 2021
Deep Learning Meets SAR
Deep Learning Meets SAR
Xiaoxiang Zhu
S. Montazeri
Mohsin Ali
Yuansheng Hua
Yuanyuan Wang
Lichao Mou
Yilei Shi
Feng Xu
R. Bamler
28
218
0
17 Jun 2020
1