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Xiaolong Wang's Projects

aafu icon aafu

Portfolio theme with blog

aidog icon aidog

一款从图片识别狗的类别的应用,包括Android版和微信小程序版。

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

apollo icon apollo

An open autonomous driving platform

avp-slam-sim icon avp-slam-sim

A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813

awesome_lightweight_networks icon awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐

chatglm3 icon chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

cocoapi icon cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

cv-papers icon cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与!!! 持续更新中... ...

cv-surveys icon cv-surveys

2021 年,计算机视觉相关综述。包括目标检测、跟踪........

cvpr-2019-paper-statistics icon cvpr-2019-paper-statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

deeplearning icon deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

dirent icon dirent

C/C++ library for retrieving information on files and directories

espcn icon espcn

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

espcn-1 icon espcn-1

Real-time single image and video super-resolution using an efficient subpixel convolutional neural network

fast-style-transfer-tutorial-pytorch icon fast-style-transfer-tutorial-pytorch

Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

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