qyoung-art's repositories
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
unet
unet for image segmentation
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
U-Net-Demo
U-Net图像分割练习题两则
BuildingChangeDetector
基于U-Net检测卫星图像上的新增建筑
Consistent-video-saliency-using-local-gradient-flow-optimization-and-global-refinement
Consistent video saliency using local gradient flow optimization and global refinement