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. 2211.08129
  4. Cited By
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works

Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works

15 November 2022
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
    SSL
ArXivPDFHTML

Papers citing "Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works"

29 / 29 papers shown
Title
ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object
ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object
Zhe Shan
Yang Liu
Lei Zhou
C. Yan
H. Wang
Xia Xie
34
0
0
15 Mar 2025
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping
Samuel Garske
Konrad Heidler
Bradley Evans
KC Wong
Xiao Xiang Zhu
31
0
0
01 Mar 2025
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating
  Interferometric SAR and RGB Data
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data
Matthew J Allen
Francisco Dorr
Joseph A. Gallego-Mejia
Laura Martínez-Ferrer
Anna Jungbluth
Freddie Kalaitzis
Raúl Ramos-Pollán
28
3
0
06 Jun 2024
Multi-Label Guided Soft Contrastive Learning for Efficient Earth
  Observation Pretraining
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining
Yi Wang
C. Albrecht
Xiao Xiang Zhu
24
6
0
30 May 2024
SSLChange: A Self-supervised Change Detection Framework Based on Domain
  Adaptation
SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
Yitao Zhao
Turgay Celik
Nanqing Liu
Feng Gao
Heng-Chao Li
25
4
0
28 May 2024
Cross-sensor self-supervised training and alignment for remote sensing
Cross-sensor self-supervised training and alignment for remote sensing
V. Marsocci
Nicolas Audebert
23
1
0
16 May 2024
HSONet:A Siamese foreground association-driven hard case sample
  optimization network for high-resolution remote sensing image change
  detection
HSONet:A Siamese foreground association-driven hard case sample optimization network for high-resolution remote sensing image change detection
Chao Tao
Dongsheng Kuang
Zhenyang Huang
Chengli Peng
Haifeng Li
31
0
0
26 Feb 2024
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
Hugo Chan-To-Hing
B. Veeravalli
19
7
0
05 Jan 2024
C-SAW: Self-Supervised Prompt Learning for Image Generalization in
  Remote Sensing
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
Avigyan Bhattacharya
Mainak Singha
Ankit Jha
Biplab Banerjee
SSL
VLM
13
6
0
27 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
36
5
0
01 Nov 2023
Self-Supervised Learning for Improved Synthetic Aperture Sonar Target
  Recognition
Self-Supervised Learning for Improved Synthetic Aperture Sonar Target Recognition
BW Sheffield
11
1
0
27 Jul 2023
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for
  Remote Sensing Image Semantic Segmentation
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation
Zhaoyang Zhang
Zhen Ren
Chao Tao
Yunsheng Zhang
Cheng-Shuang Peng
Haifeng Li
SSL
22
12
0
28 Jun 2023
A Billion-scale Foundation Model for Remote Sensing Images
A Billion-scale Foundation Model for Remote Sensing Images
Keumgang Cha
Junghoon Seo
Taekyung Lee
19
62
0
11 Apr 2023
Extending global-local view alignment for self-supervised learning with
  remote sensing imagery
Extending global-local view alignment for self-supervised learning with remote sensing imagery
Xinye Wanyan
Sachith Seneviratne
Shuchang Shen
M. Kirley
65
11
0
12 Mar 2023
Multispectral Contrastive Learning with Viewmaker Networks
Multispectral Contrastive Learning with Viewmaker Networks
Jasmine Bayrooti
Noah D. Goodman
Alex Tamkin
15
1
0
11 Feb 2023
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
11
25
0
23 May 2022
TOV: The Original Vision Model for Optical Remote Sensing Image
  Understanding via Self-supervised Learning
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning
Chao Tao
Ji Qi
Guo Zhang
Qing Zhu
Weipeng Lu
Haifeng Li
14
39
0
10 Apr 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised Learning
Yuge Shi
N. Siddharth
Philip H. S. Torr
Adam R. Kosiorek
SSL
43
81
0
31 Jan 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
FCCDN: Feature Constraint Network for VHR Image Change Detection
FCCDN: Feature Constraint Network for VHR Image Change Detection
Pan Chen
Danfeng Hong
Zhengchao Chen
Xuan S. Yang
Baipeng Li
Bing Zhang
36
143
0
23 May 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
283
5,723
0
29 Apr 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Yin Cui
Boqing Gong
ViT
231
573
0
22 Apr 2021
Object Detection in Aerial Images: A Large-Scale Benchmark and
  Challenges
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding
Nan Xue
Guisong Xia
X. Bai
Wen Yang
...
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
L. Zhang
179
378
0
24 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
132
278
0
12 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
Self-supervised pre-training enhances change detection in Sentinel-2
  imagery
Self-supervised pre-training enhances change detection in Sentinel-2 imagery
Marrit Leenstra
Diego Marcos
F. Bovolo
D. Tuia
SSL
61
41
0
20 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
235
3,029
0
09 Mar 2020
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
207
282
0
01 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1