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shan-616's Projects

classification-keras icon classification-keras

这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

dncnn icon dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

docs icon docs

TensorFlow documentation

gabor_visualization icon gabor_visualization

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

gan-keras icon gan-keras

里面包含许多GAN算法的Keras源码，可以用于训练自己的模型。

hyperspecae icon hyperspecae

Code for the experiments on the Samson Dataset as presented in the paper: Hyperspectral Unmixing Using a Neural Network Autoencoder (Palsson et al. 2018)

ieee_tnnls_egu-net icon ieee_tnnls_egu-net

Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing, IEEE TNNLS, 2021.

mtcnn-keras icon mtcnn-keras

这是一个利用keras实现mtcnn的代码，可以实现人脸检测。

plug_and_play_hsi_unmixing icon plug_and_play_hsi_unmixing

Implementation of paper "Hyperspectral Unmixing Via Plug-And-Play Priors" (ICIP 2020) and "A Plug-and-Play Priors Framework for Hyperspectral Unmixing" (T-GRS 2021)

rdosr icon rdosr

Representative-Discriminative Open-set Recognition

remote-sensing-scene-classification icon remote-sensing-scene-classification

For the remote sensing scene classification task in complex background, we proposed a lightweight convolutional neural network with bilinear feature extraction structure. The idea of branch feature fusion was proposed to fuse the extracted features of different branches.

rsd46-whu icon rsd46-whu

A 46-classes public dataset for remote sensing image scene classification.

rsscn7 icon rsscn7

Dataset of the article “Deep Learning Based Feature Selection for Remote Sensing Scene Classification”

sceneclassification icon sceneclassification

This project is to use deep learning to auto classify the scene images with limited amount of training images.

tensorflow-mnist-cnn icon tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

transfer-learning icon transfer-learning

这是一个有关迁移学习的仓库，在这里可以看到迁移学习的各种用法。

vg icon vg

VGG and GoogLeNet for VHRRSI scene classification

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