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MingshengCai1997's Projects

aboutspringsecurity icon aboutspringsecurity

记录学习SpringSecurity时候的练习代码,为了家里电脑和公司电脑代码同步创建的一个仓库。

compositionalnets icon compositionalnets

Official implementation of CVPR2020 paper: "Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion" https://arxiv.org/abs/2003.04490

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

gfs-dcf icon gfs-dcf

Matlab implementation of ICCV2019 paper "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking"

guli icon guli

尚硅谷的一个项目

javainterview icon javainterview

【Java面试+Java后端技术学习指南】:一份通向理想互联网公司的面试指南,包括 Java,技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、分布式、数据库(MySQL、Redis)、Java 项目实战等

kcfpy icon kcfpy

Python implementation of KCF tracking algorithm

kl-loss icon kl-loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

leetcode icon leetcode

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

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

mall icon mall

mall项目是一套电商系统,包括前台商城系统及后台管理系统,基于SpringBoot+MyBatis实现,采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

pysot icon pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

seckill icon seckill

SSM实战项目——Java高并发秒杀API,详细流程+学习笔记

shell icon shell

Linux命令行与shell脚本编程大全案例

siamdw icon siamdw

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

siamdw-pytorch icon siamdw-pytorch

A Pytorch Implementation of 'Deeper and Wider Siamese Networks for Real-Time Visual Tracking' [CVPR2019]

siamese-rpn icon siamese-rpn

An implementation for Siamese Region Proposal Network with PyTorch

siamese-rpn-pytorch icon siamese-rpn-pytorch

This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.

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