liuheng0111's repositories
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
wxbs-descriptors-benchmark
W1BS local patch descriptors benchmark
hardnet
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
IGCV3
Code and Pretrained model for IGCV3
NearPy
Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.
oicr
Codes for our paper "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
CodingInterviews
剑指Offer——名企面试官精讲典型编程题
Xlearn-1
Transfer Learning Library
models
Models and examples built with TensorFlow
TextGrapher
Text Content Grapher based on keyinfo extraction by NLP method。输入一篇文档，将文档进行关键信息提取，进行结构化，并最终组织成图谱组织形式，形成对文章语义信息的图谱化展示。
Pedestrian_Alignment
TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification
simhash
中文文档simhash值计算
liuheng0111.github.io
💎My homepage
MGCAM
Mask data and code for 'Mask-guided Contrastive Attention Model for Person Re-Identification' (CVPR-2018)
cdp
Code for our ECCV 2018 work.
SoTu
A flask-based cbir system
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
Dr.Sure
🏫DeepLearning学习笔记以及Tensorflow使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。
sofa-pbrpc
A light-weight RPC implement of google protobuf RPC framework.
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
salbow
Saliency Weighted Convolutional Features for Instance Search
cvtk
CVTK, a computer vision toolkit
awesome-cbir-papers
📝Awesome and classical image retrieval papers
affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
CudaSift
A CUDA implementation of SIFT for NVidia GPUs (1.6 ms on a GTX 1060)
Residual-Attention-Convolutional-Neural-Network
It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper "Residual Attention Network for Image Classification"(https://arxiv.org/pdf/1704.06904.pdf).
facenet
Face recognition using Tensorflow
Deep-Person
Code for Deep-Person: Learning Discriminative Deep Features for Person Re-Identification