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The code of an innovative deep neural network model named U-shaped transformer network using shifted windows (UST-Net).
An Open-Source Hyperspectral Unmixing Python Package
RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis
Python3 library for common unmixing functions
Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyper…
MLNMF: Multilayer Nonnegative Matrix Factorization
HyperSpectral Matlab Toolbox forked from Sourceforge
[TGRS2024] MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Code for the experiments on the Samson Dataset as presented in the paper: Hyperspectral Unmixing Using a Neural Network Autoencoder (Palsson et al. 2018)
CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders, IEEE TGRS, 2022
Resource collection for the paper "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods" (SPM 2023).
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Pan-Mamba: Effective Pan-Sharpening with State Space Model
VMamba: Visual State Space Models，code is based on mamba
A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.
Applications of differentiable superpixel sampling networks in various dwnstream computer vision tasks. This is part of the assignments and final project for the course CMSC828i
PyTorch implementation of Superpixel Sampling Networks
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)
Code for the paper "Contrastive Clustering" (AAAI 2021)