zhaoyang1708's repositories
CAM
Class Activation Mapping
Caffe-ExcitationBP
Implementation of Excitation Backprop in Caffe
beholder
A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.
tf-3dgan
Tensorflow implementation of 3D Generative Adversarial Network.
lsd_slam
LSD-SLAM
crfasrnn
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
pytorch-caffe-darknet-convert
convert between pytorch, caffe prototxt/weights and darkness cfg/weights
Neural-Style-Transfer-Papers
:pencil2: Neural Style Transfer: A Review
caffe-heatmap
Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.
wildcat.pytorch
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
benchmark_results
visual tracker benchmark results
synthetic-computer-vision
A list of synthetic dataset and tools for computer vision
SfM-Toy-Library
A toy library for Structure from Motion using OpenCV
tiny-style-transfer
tiny pytorch implementation of neural style transfer.
apollo
An open autonomous driving platform
How-to-Predict-Stock-Prices-Easily-Demo
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
siamese-fc
State-of-the-art performance in arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
Deep-Learning-Tricks
Enumerate diverse machine learning training tricks.
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Best-websites-a-programmer-should-visit-zh
程序员应该访问的最佳网站中文版
lc-all-solutions
My own lc solutions
saliency
Implementation of SmoothGrad as well as several other saliency techniques
epic
Dense Semantic Correspondence where Every Pixel is a Classifier
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners