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S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for
  Hyperspectral Image Unsupervised Domain Adaptation

S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation

11 August 2024
Jie Feng
Tianshu Zhang
Junpeng Zhang
Ronghua Shang
Weisheng Dong
G. Shi
Licheng Jiao
ArXiv (abs)PDFHTMLGithub

Papers citing "S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation"

21 / 21 papers shown
Title
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts
Xi Chen
Shen Yan
Juelin Zhu
Chen Chen
Yu Liu
Maojun Zhang
71
0
0
20 May 2025
Reversible Column Networks
Reversible Column Networks
Yuxuan Cai
Yi Zhou
Qi Han
Jianjian Sun
Xiangwen Kong
Jun Yu Li
Xiangyu Zhang
VLM
79
55
0
22 Dec 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
79
88
0
15 Feb 2022
Self-Adversarial Disentangling for Specific Domain Adaptation
Self-Adversarial Disentangling for Specific Domain Adaptation
Qianyu Zhou
Qiqi Gu
Jiangmiao Pang
Xuequan Lu
Lizhuang Ma
123
49
0
08 Aug 2021
DRANet: Disentangling Representation and Adaptation Networks for
  Unsupervised Cross-Domain Adaptation
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
Seunghun Lee
Sunghyun Cho
Sunghoon Im
DRL
68
59
0
24 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
100
178
0
05 Mar 2021
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain
  Adaptation on Person Re-identification
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
Yixiao Ge
Dapeng Chen
Hongsheng Li
89
558
0
06 Jan 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
342
795
0
26 Aug 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
109
838
0
04 Jan 2019
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
322
5,112
0
09 Sep 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
224
16,582
0
17 Jul 2018
Image Super-Resolution Using Very Deep Residual Channel Attention
  Networks
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Y. Fu
SupR
103
4,330
0
08 Jul 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
126
1,221
0
23 Apr 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,539
0
05 Sep 2017
The Reversible Residual Network: Backpropagation Without Storing
  Activations
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan Gomez
Mengye Ren
R. Urtasun
Roger C. Grosse
74
551
0
14 Jul 2017
Self-ensembling for visual domain adaptation
Self-ensembling for visual domain adaptation
Geoffrey French
Michal Mackiewicz
M. Fisher
49
44
0
16 Jun 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
105
3,161
0
06 Jul 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
383
9,511
0
28 May 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
210
1,591
0
09 Mar 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,206
0
10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
172
2,605
0
10 Dec 2014
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