Zhandiwa

Zhandiwa

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MAEST

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

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IEEE_TGRS_SpectralFormer

Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

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LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

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SC-EADNet

Implementation of SC-EADNet on TGRS 2022.

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IGARSS_2021_SSGPN

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

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annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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ECA-FCNUNet

hyperspectral image classification based on semi-supervised

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MDL4OW

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/TGRS.2020.3018879.

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CLDA-2022

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

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Attention3d-codebase

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

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Attention-Codebase

Implementation of various attention mechanisms

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WHU-OHS-Pytorch

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

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IEEE_TGRS_AMGCFN

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 Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3265879.

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Spa-Spe-TR

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

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CVSSN

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

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3DOC-SSAN-PyTorch

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)

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External-Attention-pytorch

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

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Convolutional-Vision-Transformer

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

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Swin-Transformer

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

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ACmix

Official repository of ACmix (CVPR2022)

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BS2T

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

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CAT

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

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MPViT

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

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bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

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CTMixer

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

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