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USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite
  Imagery

USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery

2 December 2023
Jeremy Irvin
Lucas Tao
Joanne Zhou
Yuntao Ma
Langston Nashold
Benjamin Liu
Andrew Y. Ng
    ViT
ArXivPDFHTML

Papers citing "USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery"

10 / 10 papers shown
Title
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
41
1
0
14 Mar 2025
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang
Meiqi Hu
Yao Jin
Yuchun Miao
Jiaqi Yang
...
Lefei Zhang
Chen Wu
Bo Du
Dacheng Tao
Liangpei Zhang
59
21
0
17 Jun 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Guillaume Astruc
Nicolas Gonthier
Clement Mallet
Loic Landrieu
28
23
0
12 Apr 2024
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
Casper Fibaek
Luke Camilleri
Andreas Luyts
Nikolaos Dionelis
B. L. Saux
26
15
0
09 Jan 2024
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
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
75
53
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
59
0
27 Apr 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
165
0
30 Dec 2022
Multimodal contrastive learning for remote sensing tasks
Multimodal contrastive learning for remote sensing tasks
Umang Jain
Alex Wilson
Varun Gulshan
SSL
18
24
0
06 Sep 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
1