Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Pytorch Implementation #6

Open
Andrew-Brown1 opened this issue Feb 24, 2020 · 4 comments
Open

Pytorch Implementation #6

Andrew-Brown1 opened this issue Feb 24, 2020 · 4 comments

Comments

@Andrew-Brown1
Copy link

Hi, I was wondering if you had a Pytorch implementation of this great piece of work?

@XinshaoAmosWang
Copy link
Owner

Hi @Andrew-Brown1 , thanks so much for your interest.

I am thinking about finding some time to reimplement our papers in Pytorch or Tensorflow. It may take some time, I will let you know when they are ready.

By the way, if you are interested in deep metric learning, we have some other simple and effective methods that you may be interested in.

  1. https://www.reddit.com/r/MachineLearning/comments/f4x1sh/r_instance_cross_entropy_for_deep_metric_learning/

  2. Official Source Code for Deep Metric Learning by Online Soft Mining and Class-Aware Attention ppriyank/-Online-Soft-Mining-and-Class-Aware-Attention-Pytorch#4

Thanks.

@XinshaoAmosWang
Copy link
Owner

Hi @Andrew-Brown1 ,

I am excited to find a third-party reimplementation, though I have not read the implementation yet
https://github.com/michuanhaohao/reid-strong-baseline
https://github.com/Qidian213/Ranked_Person_ReID

RLL is applied for person re-identification (person image/video retrieval problem) and it works well.

@say2sarwar
Copy link

There RLL can't reproduce the results in papers. can any one help me out?

@XinshaoAmosWang
Copy link
Owner

Hi @say2sarwar, thanks for your interest.
For official code, we only have caffe version. Its matlab interface is easy to use.
#7

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants