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Cross-sensor self-supervised training and alignment for remote sensing

Cross-sensor self-supervised training and alignment for remote sensing

16 May 2024
V. Marsocci
Nicolas Audebert
ArXivPDFHTML

Papers citing "Cross-sensor self-supervised training and alignment for remote sensing"

5 / 5 papers shown
Title
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
F. Liu
Delong Chen
Zhan-Rong Guan
Xiaocong Zhou
Jiale Zhu
Qiaolin Ye
Liyong Fu
Jun Zhou
VLM
68
191
0
19 Jun 2023
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
43
14
0
22 May 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
118
169
0
30 Dec 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
305
7,434
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,775
0
29 Apr 2021
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