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. 2405.18224
  4. Cited By
SSLChange: A Self-supervised Change Detection Framework Based on Domain
  Adaptation

SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation

28 May 2024
Yitao Zhao
Turgay Celik
Nanqing Liu
Feng Gao
Heng-Chao Li
ArXivPDFHTML

Papers citing "SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation"

18 / 18 papers shown
Title
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
Nanqing Liu
Xun Xu
Yongyi Su
Haojie Zhang
Heng-Chao Li
VLM
78
14
0
20 Sep 2024
HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature
  Understanding Network for Hyperspectral Change Detection
HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature Understanding Network for Hyperspectral Change Detection
Meiqi Hu
Chen Wu
Lefei Zhang
SSL
61
60
0
20 Jul 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
71
223
0
27 Jun 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
78
42
0
10 Apr 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
243
30,108
0
01 Mar 2022
Fully Convolutional Change Detection Framework with Generative
  Adversarial Network for Unsupervised, Weakly Supervised and Regional
  Supervised Change Detection
Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection
Chen Wu
Bo Du
Lefei Zhang
47
115
0
16 Jan 2022
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei
Yue Gao
Zhirong Wu
Han Hu
Stephen Lin
ObjD
66
148
0
04 Jun 2021
Remote Sensing Image Change Detection with Transformers
Remote Sensing Image Change Detection with Transformers
Hao Chen
Zipeng Qi
Zhenwei Shi
ViT
93
975
0
27 Feb 2021
Truly shift-invariant convolutional neural networks
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
61
71
0
28 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
347
6,792
0
13 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
339
18,721
0
13 Feb 2020
Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
Hyung-Gi Ham
Tae Joon Jun
Daeyoung Kim
DRL
GAN
46
21
0
06 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
179
12,065
0
13 Nov 2019
Unsupervised Image Regression for Heterogeneous Change Detection
Unsupervised Image Regression for Heterogeneous Change Detection
L. Luppino
F. Bianchi
G. Moser
S. N. Anfinsen
25
101
0
07 Sep 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
604
4,766
0
13 May 2019
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,759
0
25 Oct 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
102
3,033
0
19 Oct 2017
1