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

Related tags

Deep LearningRangeLoss-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++
Youzhi Gu
GitHub Repository
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