Robust Person Re-identification by Modelling Feature Uncertainty

This repo contains the reference source code for the paper Robust Person Re-identification by Modelling Feature Uncertainty in ICCV 2019. In this project, we provide Resnet-Baseline and DistributionNet architectures and results with 10% random noise on Market dataset.

Enviroment

• Python 2.7
• Tensorflow 1.3.0

Getting started

Download dataset from here

Folder 'Market' includes original Market dataset (training, query, and gallery) and 10% random noise Market training dataset file.

Folder 'result' includes trained models of Resnet-Baseline and DistributionNet

Folder 'pretrained_model' includes Resnet-50 pretrained in ImageNet

Train and Test

Run bash pipeline.sh

Results

The test results will be recorded in ./result/model_name/rank.txt