cp3xl

CTN2022

CNN-Swin

Hyperspectral image classification network using a combination of cnn feature extraction and a small Swin transformer.

DCN-T

[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".

awesome-hyperspectral-transformer

A list and translation plan for Vision Transformer based hyperspectral application

HSI_SSFTT

L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.

Hyperspectral-Vision-Transformer

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

HResNetAM

A demo for the hierarchical residual network with attention mechanism for hyperspectral image classification

SAE-3DDRN

This is an implementation of the SAE-3DDRN network presented in "A combination method of stacked autoencoder and 3D deep residual network for hyperspectral image classification"

DRIN

[RS 2021] PyTorch implementation of deep residual involution network for hyperspectral image classification.

MSRN-A

Hyperspectral image classification based on multi-scale residual network with attention mechanism

DCRN-2021

Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels

RSSAN-Hyperspectral-Image

Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification

A2S2K-ResNet

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

MCI

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

ganslate

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

CRNN-OCR-lite

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

ENVI_readAndWrite

Use matlab to read and write envi image file

LSNet

source code of "LSNet: Extremely lightweight Siamese Network for Change Detection in Remote Sensing Images"

Hyperspectral-Image-Segmentation

Semantic Segmentation of HyperSpectral Images using a U-Net with Depthwise Separable Convolutions

RTDA

SkrSkr

The second place winner for DAC-SDC 2020

DAC-SDC-2020-SEUer

pydmobilenet_mxnet

Implementation of PydMobileNet on Mxnet

EARDS

EARDS: EfficientNet and Attention-based Residual Depth-wise Separable Convolution for Joint OD and OC Segmentation

Real-time-domain-adaptation-in-semantic-segmentation

"Advanced Machine Learning" project @ Politecnico di Torino, a.y. 2021/2022.

BSConv

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Complex_Convolutional_Neural_Network_Architecture

I Implemented some of the custom complex Convolutional Neural Network architecture using tensorow.keras Functional API.

keras-DepthwiseConv3D

Keras w/ Tensorflow backend implementation for 3D channel-wise convolutions

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A-3D-CNN-AM-DSC-model-for-hyperspectral-image-classification