SHAN-616

Pinned Repositories

Captcha-Verification-Code-Recognition
Using CNN to recognize the verification code
Language:Python00
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。
Language:Python00
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。
Language:Python00
deep-learning-models
Keras code and weights files for popular deep learning models.
Language:Python00
DenseNet40-for-HRRSISC
Use DenseNet40 for remote sensing image scene classification
Language:Python00
DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Language:MATLAB00
docs
TensorFlow documentation
Language:Jupyter Notebook00
For-blog
Codes for displaying in my blogs.
Language:Python00
Gabor_Visualization
Documents to help understand Gabor Filter. Projects for Gabor Filters visualization.
Language:C++00
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。
Language:Python00

SHAN-616's Repositories

SHAN-616/Captcha-Verification-Code-Recognition
Using CNN to recognize the verification code
Language:Python00
SHAN-616/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。
Language:Python00
SHAN-616/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。
Language:Python00
SHAN-616/deep-learning-models
Keras code and weights files for popular deep learning models.
Language:Python00
SHAN-616/DenseNet40-for-HRRSISC
Use DenseNet40 for remote sensing image scene classification
Language:Python00
SHAN-616/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Language:MATLAB00
SHAN-616/docs
TensorFlow documentation
Language:Jupyter Notebook00
SHAN-616/For-blog
Codes for displaying in my blogs.
Language:Python00
SHAN-616/Gabor_Visualization
Documents to help understand Gabor Filter. Projects for Gabor Filters visualization.
Language:C++00
SHAN-616/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。
Language:Python00
SHAN-616/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】
SHAN-616/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)
SHAN-616/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.
SHAN-616/mtcnn-keras
这是一个利用keras实现mtcnn的代码，可以实现人脸检测。
SHAN-616/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)
SHAN-616/rdosr
Representative-Discriminative Open-set Recognition
SHAN-616/Remote-Sensing-Image
Remote sensing image scene classification
SHAN-616/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.
SHAN-616/ResNeXt-for-HRRSI-scene-classification
ResNeXt,ResNet, tensorflow,python
SHAN-616/RSD46-WHU
A 46-classes public dataset for remote sensing image scene classification.
SHAN-616/RSSCN7
Dataset of the article “Deep Learning Based Feature Selection for Remote Sensing Scene Classification”
SHAN-616/Scene-Classification
微调 Inception-ResNet-V2, 解决 AI Challenger 2017 场景分类问题。
SHAN-616/SceneClassification
This project is to use deep learning to auto classify the scene images with limited amount of training images.
SHAN-616/SENet_ResNeXt_Remote_Sensing_Scene_Classification
SENet ResNeXt and Resnet for High-resolution Remote Sensing Scene Clasisification
SHAN-616/tensorflow-mnist-cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
SHAN-616/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。
SHAN-616/VG
VGG and GoogLeNet for VHRRSI scene classification