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chengzheng2013's Projects

3ddwt-svm-gc icon 3ddwt-svm-gc

This is an implementation code of paper "Integration of 3-Dimensional Discrete Wavelet Transform and Markov Random Field for Hyperspectral Image Classification"

ae icon ae

Source codes of my paper ''Review of AutoEncoder and Its Variants: A Comparative Perspective from Target Recognition''

awesome-automl-and-lightweight-models icon awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-sar icon awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

bayesianfuzzyclustering icon bayesianfuzzyclustering

Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676

caffe-cvmlp-polsar icon caffe-cvmlp-polsar

Implementation of Complex-Valued Convolutional Multilayer Perception(CV-MLP) for classification of PolSAR image with pixels that are represented as complex value

cnn-mrf-v1 icon cnn-mrf-v1

This is a modified version of the code for Hyperspectral image classification using CNN (Post-processing code is written in python).

code_grsl_2020_1 icon code_grsl_2020_1

Fusion of Evidences in Intensities Channels for Edge Detection in PolSAR Images. Anderson A. de Borba, Maurı́cio Marengoni, and Alejandro C. Frery, Senior Member, IEEE

crpm-net icon crpm-net

PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain. https://arxiv.org/abs/1909.10783

cv-despecknet icon cv-despecknet

This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.

deepcluster icon deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepclustering-2 icon deepclustering-2

A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.

densecrf_matlab icon densecrf_matlab

A lightweight MATLAB wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

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