# iiyama-lab/ps-vaes

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/iiyama-lab-ps-vaes).**

2 stars · 0 forks · Python · MIT

## Links

- GitHub: https://github.com/iiyama-lab/PS-VAEs
- awesome-repositories: https://awesome-repositories.com/repository/iiyama-lab-ps-vaes.md

## Description

This is the implementation of Partially-Shared Variational Auto Encoders (PS-VAEs) for pose estimation and digits classification in Pytorch. The code is written by Ryuhei Takahashi and Atsushi Hashimoto. The work was accepted by ECCV 2020 Poster.

## Tags

### Part of an Awesome List

- [General Adaptation Techniques](https://awesome-repositories.com/f/awesome-lists/ai/general-adaptation-techniques.md) — Uses partially-shared variational autoencoders for target shift.