---
license: apache-2.0
---

---


# ShiftedBronzes Benchmark and OOD Detection Codebase

This repository provides the official implementation of our paper:  
**"ShiftedBronzes: Benchmarking and Analysis of Domain Fine-grained Out-of-Distribution Detection in Gradual Shifts"**.

We provide:
- Training and evaluation code for ID-like and LoCoOp under different background settings.
- Code for testing post-hoc OOD detection methods adapted from [OpenOOD](https://github.com/Jingkang50/OpenOOD).

---





## 📁 Project Structure

```

ShiftedBronzes/

├── ID-like-train/               # Training/testing code for ID-like using original background

├── ID-like-train-change-bg/    # Training/testing code for ID-like using replaced background

├── LoCoOp-train/               # Training/testing code for LoCoOp using original background

├── LoCoOp-train-change-bg/     # Training/testing code for LoCoOp using replaced background

├── OpenOOD/                    # Post-hoc OOD detection testing code (based on OpenOOD)

├── zest\_code/                  # Zest code for generating transferred data

├── requirements.txt            # Environment requirements

└── README.md                   # Project README

```
```




````

---

## 🔧 Installation


```bash
git clone https://github.com/your_username/ShiftedBronzes.git
cd ShiftedBronzes
pip install -r requirements.txt
````

---

## 🗂 Dataset

You can download the **ShiftedBronzes** dataset in this [Link](https://www.kaggle.com/api/v1/datasets/download/zhourixinzhourixin/shiftedbronzes).

---



##  Training & Evaluation

We provide scripts to train and test each models under corresponding code folder.