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Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
v1v2 (latest)

Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification

18 May 2025
Wenchen Chen
Yanmei Zhang
Zhongwei Xiao
Jianping Chu
Xingbo Wang
ArXiv (abs)PDFHTML

Papers citing "Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification"

17 / 17 papers shown
Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hugo Carlesso
Josiane Mothe
Radu Tudor Ionescu
85
0
0
16 Sep 2025
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future TrendsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
565
354
0
13 Jan 2023
A Survey: Deep Learning for Hyperspectral Image Classification with Few
  Labeled Samples
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia
Shuguo Jiang
Zhijie Lin
Nanying Li
Meng Xu
Shiqi Yu
VLM
300
315
0
03 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision LearnersComputer Vision and Pattern Recognition (CVPR), 2021
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
2.5K
10,037
0
11 Nov 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSLOODAI4TS
245
348
0
18 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
252
25
0
14 Oct 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation LearningComputer Vision and Pattern Recognition (CVPR), 2020
Xinlei Chen
Kaiming He
SSL
708
4,677
0
20 Nov 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.2K
22,369
0
13 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise TransformationInternational Conference on Learning Representations (ICLR), 2020
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
334
445
0
23 Jan 2020
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image
  Classification
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
Swalpa Kumar Roy
G. Krishna
S. Dubey
B. B. Chaudhuri
334
1,337
0
18 Feb 2019
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
1.3K
3,505
0
21 Mar 2018
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
648
9,295
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
1.6K
13,524
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
1.2K
8,038
0
13 Jun 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
755
3,165
0
30 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.7K
217,209
0
10 Dec 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context PredictionIEEE International Conference on Computer Vision (ICCV), 2015
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
590
2,909
0
19 May 2015
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