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---
license: mit
library_name: pytorch
pipeline_tag: object-detection
tags:
- source-free
- object-detection
- domain-adaptation
- medical-imaging
- semi-supervised
- computer-vision
model-index:
- name: Grounded Teacher
results: []
---
# Grounded Teacher (GT)
This repository contains model weights and resources for **Grounded Teacher**, a framework designed to tackle **Source Free Object Detection (SFOD)**, especially under **domain shift** and **context imbalance** conditions—common challenges in **medical imaging**.
---
## 🧠 Abstract
We focus on the Source Free Object Detection (SFOD) problem, where **source data is unavailable** during adaptation, and the model must adapt to an **unlabeled target domain**. In medical imaging, many approaches rely on semi-supervised student-teacher setups to handle domain gaps.
However, **context imbalance** and **domain shifts** often lead to **biased teacher models**, producing poor pseudolabels and causing the student model to collapse.
To address this, we introduce **Grounded Teacher (GT)**:
- Models **contextual relationships** via a **relational context module**.
- Applies targeted **augmentations** for underrepresented classes across/within domains.
- Adds an **expert foundational branch** to supervise the student model and enhance prediction quality.
GT shows significant improvement across three medical imaging datasets, with thorough ablation studies validating its effectiveness.
---
## 📦 Resources
- 🔗 **GitHub:** [Grounded Teacher on GitHub](https://github.com/Tajamul21/Grounded_Teacher)
- 📄 **Paper:** [Context Aware Grounded Teacher for Source Free Object Detection](https://huggingface.co/papers/2504.15404)
---
## 👨🔬 Authors
- **Tajamul Ashraf**
- Rajes Manna
- Partha Sarathi Purkayastha
- Tavaheed Tariq
- Janibul Bashir
---
## 📅 Publication
**Title:** Context Aware Grounded Teacher for Source Free Object Detection
**Published:** April 22
---
## 📃 Citation
```bibtex
@misc{ashraf2025contextawaregroundedteacher,
title={Context Aware Grounded Teacher for Source Free Object Detection},
author={Tajamul Ashraf and Rajes Manna and Partha Sarathi Purkayastha and Tavaheed Tariq and Janibul Bashir},
year={2025},
eprint={2504.15404},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2504.15404},
}
``` |