zchengquan's repositories

VIMER

视觉基础模型仓库

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FastMask

FastMask: Segment Multi-scale Object Candidates in One Shot

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speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

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rec-attend-public

Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"

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MNC

Instance-aware Semantic Segmentation via Multi-task Network Cascades

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caffe

Caffe: a fast open framework for deep learning.

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PSPNet

Pyramid Scene Parsing Network

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deform-conv

Deformable Convolution in TensorFlow / Keras

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caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

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deeplearning-papernotes

Summaries and notes on Deep Learning research papers

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pix2pix

Image-to-image translation using conditional adversarial nets

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HistogramLoss

This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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RIS

Implementation of the approach described in the paper "Recurrent Instance Segmentation" https://arxiv.org/abs/1511.08250.

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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.

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ohem

OHEM support for Fast R-CNN

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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..

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coco-text

COCO-Text API http://vision.cornell.edu/se3/coco-text/

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dilation

Dilated Convolution for Semantic Image Segmentation

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torch-hdf5

Torch interface to HDF5 library

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opencv_contrib

Repository for OpenCV's extra modules

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FASText

Efficient Unconstrained Scene Text Detector

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grid-lstm

Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

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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.

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ImageNet-Training

ImageNet training using torch

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write-rnn-tensorflow

Generative Handwriting using LSTM Mixture Density Network with TensorFlow

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caffe-windows

Configure Caffe in one hour for Windows users.

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