Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Wenchen, Zhang, Yanmei, Xiao, Zhongwei, Chu, Jianping, Wang, Xingbo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Domain Transfer with Self-Supervised Spectral-Spatial Modeling for Hyperspectral Image Classification
by: Chao, Jianshu, et al.
Published: (2026)

Spectral-Spatial Mamba for Hyperspectral Image Classification
by: Huang, Lingbo, et al.
Published: (2024)

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification
by: Xiao, Yuyang
Published: (2024)

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Li, Yapeng, et al.
Published: (2025)

Hyperspectral Image Classification using Spectral-Spatial Mixer Network
by: Alkhatib, Mohammed Q.
Published: (2025)

Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation
by: Zhang, Qing, et al.
Published: (2025)

Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
by: Zhu, Yimin, et al.
Published: (2025)

LGEST: Dynamic Spatial-Spectral Expert Routing for Hyperspectral Image Classification
by: Wen, Jiawen, et al.
Published: (2026)

Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image Classification
by: Zhang, Yuqing, et al.
Published: (2025)

MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification
by: Xu, Yichu, et al.
Published: (2025)

Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Unmixing-Guided Spatial-Spectral Mamba with Clustering Tokens for Hyperspectral Image Classification
by: Zhu, Yimin, et al.
Published: (2026)

DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

SDTN and TRN: Adaptive Spectral-Spatial Feature Extraction for Hyperspectral Image Classification
by: Ye, Fuyin, et al.
Published: (2025)

Physics-Aligned Spectral Mamba: Decoupling Semantics and Dynamics for Few-Shot Hyperspectral Target Detection
by: Gong, Luqi, et al.
Published: (2026)

Spectral Graph Reasoning Network for Hyperspectral Image Classification
by: Wang, Huiling
Published: (2024)

Clustering-Guided Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Dewis, Zack, et al.
Published: (2026)

Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification
by: Wang, Meijia, et al.
Published: (2026)

DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification
by: Sheng, Jiamu, et al.
Published: (2024)

Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
by: Liu, Peifu, et al.
Published: (2024)

Multi-Level Correlation Network For Few-Shot Image Classification
by: Dang, Yunkai, et al.
Published: (2024)

How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
by: Zhang, Yiyi, et al.
Published: (2022)

Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering
by: Liu, Peifu, et al.
Published: (2026)

Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating
by: Li, Guandong, et al.
Published: (2025)

Open-Set Domain Generalization through Spectral-Spatial Uncertainty Disentanglement for Hyperspectral Image Classification
by: Khoshbakht, Amirreza, et al.
Published: (2025)

SpectralMamba: Efficient Mamba for Hyperspectral Image Classification
by: Yao, Jing, et al.
Published: (2024)

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
by: Paeedeh, Naeem, et al.
Published: (2026)

WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance
by: Zhang, Yingkai, et al.
Published: (2025)

Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification
by: Liu, Kangdao, et al.
Published: (2024)

HSSDCT: Factorized Spatial-Spectral Correlation for Hyperspectral Image Fusion
by: Lee, Chia-Ming, et al.
Published: (2026)

DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
by: Ayzenberg, Lev, et al.
Published: (2024)

DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification
by: Cao, Weijia, et al.
Published: (2025)

Learning to Obstruct Few-Shot Image Classification over Restricted Classes
by: Zheng, Amber Yijia, et al.
Published: (2024)

SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification
by: Musiat, Alexander, et al.
Published: (2026)

Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype
by: Qin, Anyong, et al.
Published: (2025)

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
by: Liu, Chun, et al.
Published: (2025)

Frozen Feature Augmentation for Few-Shot Image Classification
by: Bär, Andreas, et al.
Published: (2024)

Bayesian Evidential Learning for Few-Shot Classification
by: Linghu, Xiongkun, et al.
Published: (2022)