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Introduction

This is the source code of our CVPR 2024 paper "Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification". Please cite the following paper if you use our code.

Zhenyu Cui, Jiahuan Zhou, Xun Wang, Manyu Zhu and Yuxin Peng, "Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification", 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, June 17 - 21, 2024.

Dependencies

Data Preparation

Environment Preparation

Usage

  1. For Order-1:

    • Train: CUDA_VISIBLE_DEVICES=0 python train1.py
    • Test: CUDA_VISIBLE_DEVICES=0 python test1.py
  2. For Order-2:

    • Train: CUDA_VISIBLE_DEVICES=1 python train2.py
    • Test: CUDA_VISIBLE_DEVICES=1 python test2.py

For any questions, feel free to contact us (cuizhenyu@stu.pku.edu.cn).

Welcome to our Laboratory Homepage for more information about our papers, source codes, and datasets.

Acknowledgement

Our code is based on the PyTorch implementation of PatchKD.