Update README.md
Browse files
README.md
CHANGED
@@ -1,15 +1,21 @@
|
|
1 |
---
|
2 |
license: cc-by-nc-nd-4.0
|
|
|
|
|
|
|
3 |
---
|
4 |
|
5 |
-
Small subset of the original MUAD dataset.
|
6 |
|
7 |
-
|
8 |
|
9 |
-
|
|
|
|
|
|
|
10 |
title={Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks},
|
11 |
author={Franchi, Gianni and Yu, Xuanlong and Bursuc, Andrei and Tena, Angel and Kazmierczak, R{\'e}mi and Dubuisson, S{\'e}verine and Aldea, Emanuel and Filliat, David},
|
12 |
journal={BMVC},
|
13 |
year={2022}
|
14 |
}
|
15 |
-
|
|
|
1 |
---
|
2 |
license: cc-by-nc-nd-4.0
|
3 |
+
pretty_name: Mini MUAD
|
4 |
+
size_categories:
|
5 |
+
- n<1K
|
6 |
---
|
7 |
|
8 |
+
Small subset of the original MUAD dataset filtered by Firas Gabetni. We provide a PyTorch dataset in [TorchUncertainty](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) on this [page](https://github.com/ENSTA-U2IS-AI/torch-uncertainty/blob/main/torch_uncertainty/datasets/muad.py).
|
9 |
|
10 |
+
The full dataset can be found on [Zenodo](https://zenodo.org/records/10619959). Find more information on the dataset on the [original GitHub repository](https://github.com/ENSTA-U2IS-AI/MUAD-Dataset).
|
11 |
|
12 |
+
If you use this dataset for your research, please cite the original paper as follows:
|
13 |
+
|
14 |
+
```
|
15 |
+
@inproceedings{franchi2022muad,
|
16 |
title={Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks},
|
17 |
author={Franchi, Gianni and Yu, Xuanlong and Bursuc, Andrei and Tena, Angel and Kazmierczak, R{\'e}mi and Dubuisson, S{\'e}verine and Aldea, Emanuel and Filliat, David},
|
18 |
journal={BMVC},
|
19 |
year={2022}
|
20 |
}
|
21 |
+
```
|