The code included in this repository implements the "Masked Auto-Encoding Spectral–Spatial Transformer for Hyperspectral Image Classification".

Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geos…

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Implementation of SC-EADNet on TGRS 2022.

Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

hyperspectral image classification based on semi-supervised

S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TG…

Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification(DOI: 10.1109/TGRS.2022.3166817)

Implementation of 3D attention mechanisms based on https://github.com/LeftAttention/Attention-Codebase. Thanks to LeftAttetnion for sharing the implementation of 2D attention mechanisms.

Implementation of various attention mechanisms

Pytorch toolbox for large-scale hyperspectral image classification using WHU-OHS dataset

H. Zhou, F. Luo, H. Zhuang, Z. Weng, X. Gong and Z. Lin, "Attention Multi-hop Graph and Multi-scale Convolutional Fusion Network for Hyperspectral Image Classification," in IEEE Transactions on Geo…

[GRSL 2022] Official implementation of "Two-Branch Pure Transformer for Hyperspectral Image Classification".

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

A PyTorch implementation of paper: Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network (https://ieeexplore.ieee.org/document/9140029)

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Pytorch code for ConViT( Improving Vision Transformers with Soft Convolutional Inductive Biases) ICML 2021

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Official repository of ACmix (CVPR2022)

BS2T: Bottleneck Spatial–Spectral Transformer for Hyperspectral Image Classification.

Official implement of "CAT: Cross Attention in Vision Transformer".

[CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction

Implementation of Bottleneck Transformer in Pytorch

Code (Pytorch) of "Convolution Transformer Mixer for Hyperspectral Image Classification" GRSL-09/2022 Accepted.