zchengquan's repositories
VIMER
视觉基础模型仓库
FastMask
FastMask: Segment Multi-scale Object Candidates in One Shot
speech-to-text-wavenet
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
rec-attend-public
Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"
MNC
Instance-aware Semantic Segmentation via Multi-task Network Cascades
caffe
Caffe: a fast open framework for deep learning.
PSPNet
Pyramid Scene Parsing Network
deform-conv
Deformable Convolution in TensorFlow / Keras
caffe-fast-rcnn
Caffe fork that supports Fast R-CNN
deeplearning-papernotes
Summaries and notes on Deep Learning research papers
pix2pix
Image-to-image translation using conditional adversarial nets
HistogramLoss
This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
RIS
Implementation of the approach described in the paper "Recurrent Instance Segmentation" https://arxiv.org/abs/1511.08250.
SynthText
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
ohem
OHEM support for Fast R-CNN
images-web-crawler
This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..
coco-text
COCO-Text API http://vision.cornell.edu/se3/coco-text/
dilation
Dilated Convolution for Semantic Image Segmentation
torch-hdf5
Torch interface to HDF5 library
opencv_contrib
Repository for OpenCV's extra modules
FASText
Efficient Unconstrained Scene Text Detector
grid-lstm
Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf
torch-residual-networks
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
ImageNet-Training
ImageNet training using torch
write-rnn-tensorflow
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
caffe-windows
Configure Caffe in one hour for Windows users.