ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.05419
  4. Cited By
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"

25 / 25 papers shown
Title
CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework
CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework
Wentao Wu
Xinyu Wang
Chenglong Li
Bo Jiang
Jin Tang
Bin Luo
Qi Liu
34
0
0
17 Apr 2025
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks
Yan zhu
Jingyang Zhu
Ting Wang
Yuanming Shi
Chunxiao Jiang
Khaled B. Letaief
29
0
0
14 Apr 2025
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
Shabnam Choudhury
Yash Salunkhe
Sarthak Mehrotra
Biplab Banerjee
36
0
0
04 Apr 2025
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
Ziyue Huang
Hongxi Yan
Qiqi Zhan
Shuai Yang
Mingming Zhang
Chenkai Zhang
Yiming Lei
Zeming Liu
Qingjie Liu
Yixuan Wang
49
0
0
28 Mar 2025
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
48
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
50
1
0
14 Mar 2025
Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation
Leonard Waldmann
Ando Shah
Yi Wang
Nils Lehmann
Adam J. Stewart
Zhitong Xiong
Xiao Xiang Zhu
Stefan Bauer
John Chuang
51
1
0
13 Mar 2025
RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing
Fengxiang Wang
H. Wang
Yixuan Wang
Di Wang
Mingshuo Chen
...
Yangang Sun
Shuo Wang
L. Lan
Wenjing Yang
Jing Zhang
Mamba
80
3
0
13 Mar 2025
SAR-W-MixMAE: SAR Foundation Model Training Using Backscatter Power Weighting
Ali Caglayan
Nevrez Imamoglu
T. Kouyama
70
0
0
03 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 Longépé
71
0
0
19 Feb 2025
EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
Diego A. Velázquez
Pau Rodríguez López
Sergio Alonso
Josep M. Gonfaus
Jordi Gonzalez
Gerardo Richarte
Javier Marin
Yoshua Bengio
Alexandre Lacoste
60
0
0
14 Jan 2025
Pattern Integration and Enhancement Vision Transformer for
  Self-Supervised Learning in Remote Sensing
Pattern Integration and Enhancement Vision Transformer for Self-Supervised Learning in Remote Sensing
Kaixuan Lu
Ruiqian Zhang
Xiao Huang
Yuxing Xie
Xiaogang Ning
Hanchao Zhang
Mengke Yuan
Pan Zhang
Tao Wang
Tongkui Liao
37
0
0
09 Nov 2024
TaxaBind: A Unified Embedding Space for Ecological Applications
TaxaBind: A Unified Embedding Space for Ecological Applications
S. Sastry
Subash Khanal
A. Dhakal
Adeel Ahmad
Nathan Jacobs
65
7
0
01 Nov 2024
How Effective is Pre-training of Large Masked Autoencoders for
  Downstream Earth Observation Tasks?
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
Changen2: Multi-Temporal Remote Sensing Generative Change Foundation
  Model
Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model
Zhuo Zheng
Stefano Ermon
Dongjun Kim
Liangpei Zhang
Yanfei Zhong
DiffM
45
20
0
26 Jun 2024
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
66
25
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
34
0
0
10 Jun 2024
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing
  Image Generation
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation
Zhiping Yu
Chenyang Liu
Liqin Liu
Z. Shi
Zhengxia Zou
VGen
29
11
0
22 May 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
65
2
0
02 May 2024
MTP: Advancing Remote Sensing Foundation Model via Multi-Task
  Pretraining
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Di Wang
Jing Zhang
Minqiang Xu
Lin Liu
Dongsheng Wang
...
Chengxi Han
Haonan Guo
Bo Du
Dacheng Tao
L. Zhang
39
44
0
20 Mar 2024
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image
  Understanding
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
Mingming Zhang
Qingjie Liu
Yunhong Wang
32
5
0
28 Sep 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
121
169
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
178
244
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
305
7,443
0
11 Nov 2021
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
183
21,819
0
09 Dec 2016
1