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activity-recognition

Classify human activity (time-series) using Deep Learning - wavelet decomposition combined with CNN

bci_mi_wavelet_cnn

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

brainmri_cnn

This project is small research project aims to investigate the impact of Manual Feature Extraction (MFE) based techniques such as Wavelet Transform and Automatic Feature Extraction techniques such CNN architecture. This is a work in progress

cnn-for-chinese-calligraphy-styles-classification

A convolution neural network with SE block and haar wavelet block for Chinese calligraphy styles classification by TensorFlow.(Paper: A novel CNN structure for fine-grained classification of Chinesecalligraphy styles)

cnnwsr

Convolutional neural networks for wavelet domain super resolution (implementation of our PR letters paper)

deep_neuro_wavelet

Classify brain data using CNNs based on wavelet decomposition

deep_neuro_wavelet-1

Classify brain data using CNNs based on wavelet decomposition

gabor-cnn-cifar-10

This project is created in order to compare the differences between the convolutional neural network with and without Gabor's feature extraction

gabor-convolutional-networks

@article{GaborCNNs, title={Gabor Convolutional Networks}, author={Luan, Shangzhen and chen, chen and Zhang, Baochang* and han, jungong and Liu, Jianzhuang}, year={2018}, IEEE Trans. Image processing. }

gabor_cnn_pytorch

WACV2018/TIP: Gabor Convolutional Networks

gabor_layers_for_robustness

PyTorch implementation of the ECCV 2020 paper "Gabor Layers Enhance Network Robustness".

gabor_visualization

Documents to help understand Gabor Filter. Projects for Gabor Filters visualization.

gabornet

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

graphwaveletneuralnetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

gwnn

A TensorFlow implementation of Graph Wavelet Neural Network 图小波神经网络的TensorFlow实现

hccr-googlenet

This project is about directional feature extraction and HCCR-GoogLeNet CNN architecture definition for Caffe platform.

image-sengementation-research

image segmentation project going in IEEE In collaboration with GITAM University , research used was of wavelet transformation with CNN on two dataset Paviau and Indian pines

kymatio

Wavelet scattering transforms in Python with GPU acceleration

multilevel_wavelet_decomposition_network_pytorch

This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.

mwcnn

Multi-level Wavelet-CNN for Image Restoration

pyscatwave

Fast Scattering Transform with CuPy/PyTorch

pytorch-gabor

Image reconstruction using Gabor filters

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT)

pytorch_wavelets-1

pytorchwavelets

PyTorch implementation of the wavelet analysis found in Torrence and Compo (1998)

rolling-bearing-fault-diagnosis-use-wavelet-and-cnn

对轴承数据进行小波包变换提取其中的能量谱特征共256维。将其转化为16*16的矩阵输入进CNN进行故障诊断分类

waveletcnn

waveletcnn_for_textureclassification

Caffe implementation of a paper, "Wavelet Convolutional Neural Networks for Texture Classification" (arXiv, 2017)

waveletsrnet

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"