A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》

Last update: Nov 27, 2021

Related tags

Deep Learning RangeLoss-Pytorch-ReID

Overview

RangeLoss Pytorch

This is a Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》
There is also a version of RangeLoss for local feature of AlignedReID++, which is proposed in paper 《Alignedreid＋+: Dynamically Matching Local Information for Person Re-Identification》

Code Environment Description

Our code execution environment is:

Operating System: Ubuntu16.04 LTS
Python version: 3.5.1
Torch 0.4.0

Code structure description

|--range_loss.py
|--README.md

To do list

Give experiments results in ReID application
Write a summary blog

Owner

Youzhi Gu

Master student, Foresight Control Center, Zhejiang University / Research intern of Face++

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