SHAN-616's repositories
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)
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.
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)
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。
mtcnn-keras
这是一个利用keras实现mtcnn的代码，可以实现人脸检测。
classic-convolution-network
里面会保存许多优秀的卷积神经网络结构，这些结构可以帮助我们更好的设计网络。
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。
docs
TensorFlow documentation
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。
deep-learning-models
Keras code and weights files for popular deep learning models.
DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
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.
rdosr
Representative-Discriminative Open-set Recognition
Scene-Classification
微调 Inception-ResNet-V2, 解决 AI Challenger 2017 场景分类问题。
garbage_calssify-by-resnet50-
使用迁移学习将resnet50用于垃圾分类，基于【华为云人工智能大赛·垃圾分类挑战杯】
RSD46-WHU
A 46-classes public dataset for remote sensing image scene classification.
VG
VGG and GoogLeNet for VHRRSI scene classification
For-blog
Codes for displaying in my blogs.
ResNeXt-for-HRRSI-scene-classification
ResNeXt,ResNet, tensorflow,python
Remote-Sensing-Image
Remote sensing image scene classification
DenseNet40-for-HRRSISC
Use DenseNet40 for remote sensing image scene classification
tensorflow-mnist-cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Captcha-Verification-Code-Recognition
Using CNN to recognize the verification code
Gabor_Visualization
Documents to help understand Gabor Filter. Projects for Gabor Filters visualization.
SENet_ResNeXt_Remote_Sensing_Scene_Classification
SENet ResNeXt and Resnet for High-resolution Remote Sensing Scene Clasisification
RSSCN7
Dataset of the article “Deep Learning Based Feature Selection for Remote Sensing Scene Classification”
SceneClassification
This project is to use deep learning to auto classify the scene images with limited amount of training images.