shiyuan0806's repositories

awesome-action-recognition

A curated list of action recognition and related area resources

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cmake-examples

Useful CMake Examples

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awesome-reid-dataset

Collection of public available person re-identification datasets

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Hand-CNN

ICCV 2019, Hand Detection

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DeepShift

Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298

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aria-ng-gui

一个 Aria2 图形界面客户端 | An Aria2 GUI for Windows & Linux & MacOS

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Facial_Details_Synthesis

Photo-Realistic Facial Details Synthesis from Single Image (ICCV2019 Oral)

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OpenCL-test-apps

Applications for OpenCL testing on Toradex Apalis iMX6Q

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DB

A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

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clang

Mirror of official clang git repository located at http://llvm.org/git/clang. Updated every five minutes.

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NAIC_reid_challenge

首届“全国人工智能大赛”(行人重识别 Person ReID 赛项)

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incubator-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)

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Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

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MaskInsightface

基于人脸关键区域提取的人脸识别(LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+)

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retinaface

Reimplement RetinaFace use C++ and TensorRT

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research-charnet

CharNet: Convolutional Character Networks

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efficientdet

unofficial EffcientDet implemented by mmdetection

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daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

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MHN

ICCV2019

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sparse_learning

Sparse learning library and sparse momentum resources.

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TensorRT-CenterNet

tensorrt5 , centernet , centerface

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hand-detection-tutorial

A tutorial on how to train a hand detector with TensorFlow Object Detection API

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onnx-simplifier

Simplify your onnx model

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human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

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CV_PaperDaily

CV 每日论文阅读笔记(日更)

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MeshLoss

Implementing the Mesh Loss based on the description of Mesh R-CNN

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