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2305.13456
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Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
22 May 2023
Isaac Corley
Caleb Robinson
Rahul Dodhia
J. L. Ferres
Peyman Najafirad
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Papers citing
"Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters"
16 / 16 papers shown
Title
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu
Ritvik Gupta
Wenduo Cheng
Alexander Shen
Junhong Shen
Ameet Talwalkar
M. Khodak
AI4CE
51
6
0
05 Nov 2024
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?
Jose Sosa
Mohamed Aloulou
Danila Rukhovich
Rim Sleimi
Boonyarit Changaival
Anis Kacem
Djamila Aouada
40
0
0
27 Sep 2024
Rethinking Feature Backbone Fine-tuning for Remote Sensing Object Detection
Yechan Kim
JongHyun Park
SooYeon Kim
Moongu Jeon
26
0
0
21 Jul 2024
Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing
Minjong Cheon
43
43
0
02 Jun 2024
Cross-sensor self-supervised training and alignment for remote sensing
V. Marsocci
Nicolas Audebert
33
1
0
16 May 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Guillaume Astruc
Nicolas Gonthier
Clement Mallet
Loic Landrieu
38
25
0
12 Apr 2024
Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf
Konstantin Klemmer
Caleb Robinson
Hannah Kerner
29
36
0
02 Feb 2024
Generic Knowledge Boosted Pre-training For Remote Sensing Images
Ziyue Huang
Mingming Zhang
Yuan Gong
Qingjie Liu
Yunhong Wang
VLM
35
14
0
09 Jan 2024
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
Casper Fibaek
Luke Camilleri
Andreas Luyts
Nikolaos Dionelis
B. L. Saux
44
16
0
09 Jan 2024
USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery
Jeremy Irvin
Lucas Tao
Joanne Zhou
Yuntao Ma
Langston Nashold
Benjamin Liu
Andrew Y. Ng
ViT
46
20
0
02 Dec 2023
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Gabriel Tseng
Ruben Cartuyvels
Ivan Zvonkov
Mirali Purohit
David Rolnick
Hannah Kerner
80
62
0
27 Apr 2023
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
121
169
0
30 Dec 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
308
7,443
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
347
5,785
0
29 Apr 2021
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf
J. Proctor
T. Carleton
I. Bolliger
Vaishaal Shankar
Miyabi Ishihara
Benjamin Recht
S. Hsiang
95
122
0
16 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
270
3,375
0
09 Mar 2020
1