# xjtu-xgu/rsda

**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/xjtu-xgu-rsda).**

63 stars · 9 forks · Python

## Links

- GitHub: https://github.com/XJTU-XGU/RSDA
- awesome-repositories: https://awesome-repositories.com/repository/xjtu-xgu-rsda.md

## Description

Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation (TPAMI 2022)".

## Tags

### Part of an Awesome List

- [General Adaptation Techniques](https://awesome-repositories.com/f/awesome-lists/ai/general-adaptation-techniques.md) — Uses robust pseudo-label loss in spherical feature spaces.