# prasannapulakurthi/foreground-background-augmentation

**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/prasannapulakurthi-foreground-background-augmentation).**

_How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._

9 stars · 0 forks · Python · MIT

## Links

- GitHub: https://github.com/PrasannaPulakurthi/Foreground-Background-Augmentation
- Homepage: https://doi.org/10.1117/12.3058627
- awesome-repositories: https://awesome-repositories.com/repository/prasannapulakurthi-foreground-background-augmentation.md

## Description

ReID + SFDA - Dual-Region Augmentation (Foreground Noise + Background Shuffle) for robust person re-identification (ReID) and source-free domain adaptation (SFDA).

## Tags

### Part of an Awesome List

- [Multi-Target Adaptation](https://awesome-repositories.com/f/awesome-lists/ai/multi-target-adaptation.md) — Dual-region augmentation for reduced labeled data reliance.
- [Person Re-identification](https://awesome-repositories.com/f/awesome-lists/ai/person-re-identification.md) — Dual-region augmentation to reduce reliance on labeled data.
- [Source Free Domain Adaptation](https://awesome-repositories.com/f/awesome-lists/ai/source-free-domain-adaptation.md) — Dual-region augmentation for data-efficient source-free adaptation.
