[ACM MM'24] Oral, AesMamba

Hyperspectral Image Classification

PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing…

Mixed 2D/3D Convolutional Network for Hyperspectral Image Super-Resolution

Noisy Label Robust Hyperspectral Image Classification

Federated Noisy Client Learning

Triple Contrastive Representation Learning for Hyperspectral Image Classification with Noisy Labels, IEEE TGRS, 2023.

Investigating Split Learning and Federate Learning

Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR

A federated image segmentation method based on style transfer

The open-source code of our paper: ''Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data'', accepted by IEEE TMC.

AAAI'24 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021

Homomorphic-Encrypted Volume Rendering

[TCSVT 2022] Official implementation for 'Exploring the Relationship between Center and Neighborhoods: Central Vector Oriented Self-Similarity Network for Hyperspectral Image Classification'

Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels

LCFE-X: Pluggable Local Channel Feature Extraction Model Enhancement Method for Hyperspectral Image Classification

The repository contains the implementations for Coupled Adversarial Learning for Fusion Classification of Hyperspectral and LiDAR Data