PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)

Related tags

Deep Learningface-recognitionpytorch-implementationduldata-uncertainty-learning
Overview

Implementation of DUL (PyTorch version)

Introduction

This repo is an unofficial PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020).

NOTE:

  1. SE-Resnet64 is used as defult backbone in this repo, you can define others in ./backbone/model_irse.py
  2. Training (process) & Testing (results) logs are saved in ./exp/logs/ & ./exp/logs_test/
  3. Implementation details are not exactly the same as the original paper, seen in ./config.py

Getting Started

  • Star this repo, plz

    😊

  • Clone this repo

git clone https://github.com/MouxiaoHuang/DUL.git
  • Prepare env
conda create --name <env_name> python=3.8
pip install -r requirements.txt
sh ./exp/Exp_webface_DUL.sh
# or
sh ./exp/Exp_ms1m_DUL.sh
  • Testing
sh ./exp/TestFR_webface_DUL.sh
# or
sh ./exp/TestFR_ms1m_DUL.sh

Results Report

  • Trainset: Casia Webface
LFW CFP_FF CFP_FP AgeDB CALFW CPLFW VGG2_FP
Original paper - - - - - - -
This repo 99.42 99.23 96.53 93.93 93.48 89.60 93.76
  • Trainset: MS-Celeb-1M
LFW CFP_FF CFP_FP AgeDB CALFW CPLFW VGG2_FP
Original paper (ResNet64) 99.78 - 98.67 - - - -
This repo 99.75 99.69 98.41 98.02 95.95 92.97 95.40

Thanks & Refs

Owner
Mouxiao Huang
Rookie.
Mouxiao Huang
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