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Rethinking Transformers Pre-training for Multi-Spectral Satellite
  Imagery

Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery

8 March 2024
Mubashir Noman
Muzammal Naseer
Hisham Cholakkal
Rao Muhammad Anwar
Salman Khan
Fahad Shahbaz Khan
    ViT
ArXivPDFHTML

Papers citing "Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery"

10 / 10 papers shown
Title
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data
Haozhe Si
Yuxuan Wan
Minh Do
Deepak Vasisht
Han Zhao
Hendrik Hamann
38
0
0
17 Mar 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
36
1
0
14 Mar 2025
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models
Nikolaos Dionelis
Jente Bosmans
Nicolas Longepe
48
0
0
19 Feb 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
56
19
0
17 Jun 2024
SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial
  Foundation Models
SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models
James Lowman
Kelly Liu Zheng
Roydon Fraser
J. The
Mojtaba Valipour
16
0
0
10 Jun 2024
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
Chenying Liu
C. Albrecht
Yi Wang
Xiao Xiang Zhu
42
2
0
02 May 2024
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
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
167
241
0
28 May 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
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
154
3,574
0
09 Dec 2016
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