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--- |
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license: mit |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset README |
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This repository provides all datasets and model checkpoints required for the paper: |
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[Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts 🔗](https://arxiv.org/abs/2508.20488) |
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*Zixuan Hu, Dongxiao Li, Xinzhu Ma, Shixiang Tang, Xiaotong Li, Wenhan Yang, Ling-Yu Duan* |
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(**ICCV 2025 Highlight**) |
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--- |
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## Repository Structure |
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- **kitti_noise.zip**, **kitti_blur.zip**, **kitti_weather.zip**, and **kitti_digital.zip** |
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After extraction, together they form the complete **KITTI-C** dataset. |
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- **Nuscenes.zip** |
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Contains the splitted datasets across four different scenarios. |
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- **source_ckpt.zip** |
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Includes all necessary model checkpoints. |
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--- |
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## Notes |
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⚠️ The corruption process in **KITTI-C** involves certain randomness, which may lead to slight fluctuations in detection performance. |
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If you use the dataset provided in this repository, please make sure to properly acknowledge it in your citation. |
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--- |
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## Project Website |
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👉 [https://github.com/hzcar/DUO](https://github.com/hzcar/DUO) |
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## Citation |
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If our datasets and models are helpful in your research, please consider citing our paper: |
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``` |
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@article{hu2025adaptive, |
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title={Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts}, |
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author={Hu, Zixuan and Li, Dongxiao and Ma, Xinzhu and Tang, Shixiang and Li, Xiaotong and Yang, Wenhan and Duan, Ling-Yu}, |
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journal={arXiv preprint arXiv:2508.20488}, |
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year={2025} |
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} |
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``` |
