peitong-li Goto Github PK

2020mathmodeling

2020年华为杯数学建模

2021mathmodeling

2021年华为杯数学建模比赛B题

2022mathmodeling

2022年华为杯数学建模F题

aet-net

In this paper, a transformer-based occluded ReID network, referred to as AET-Net, is proposed. In addition, two attention modules, SAEM and CAEM, are designed to enhance the local feature extraction ability of the transformer model. Moreover, an attention-guided model optimization strategy is proposed to mitigate the over-bias of the model to the attention features. In addition, a novel evaluation metric MAS is proposed to better evaluate the ReID model. Several studies are performed on different benchmark datasets. The obtained results show that AET-Net achieves a high performance on the occluded ReID dataset, which also provides a novel idea for the transformer-based ReID tasks.

c-practice

c++练习：小游戏+基本管理系统

clsmnger

开发平台

cpp_interview

c++后台服务器开发面经或八股总结！(有深度有广度，和仅有概念的总结文章不同！)

fast-reid

SOTA Re-identification Methods and Toolbox

lan_wl509

局域网端的考勤系统：获取在线设备并发送

lovestory

说爱表白

mnistgans

Some implementations of GAN.

my_mae

mypreid

我的行人重识别项目

power_distribution

power_distribution

saylove

爱情观

sendrequests

RestTemplate的学习

shopping

softtest

软件测试技术

spring

A library to simplify iOS animations in Swift.

springstudy

基于eclipse的SSM框架spring的学习

transreid-1

[ICCV-2021] TransReID: Transformer-based Object Re-Identification

wechat