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

Related tags

Deep Learning face-recognition pytorch-implementation dul data-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

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Comments
  • About softmax loss of cls loss

    About softmax loss of cls loss

    It seems like you did not use softmax loss to classification as the paper said.

    This class

    You just used a fully connected layer, so it is another CEloss.

    Is there anything that I have missed? or it is a little mistake?

    opened by PeiwenSun2000 0
Owner
Mouxiao Huang
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Mouxiao Huang
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