If you find this work useful for your research, please consider citing our paper:
@inproceedings{franchi22bmvc,
title = {MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks},
author = {Gianni Franchi and Xuanlong Yu and Andrei Bursuc and Angel Tena and Rémi Kazmierczak and Severine Dubuisson and Emanuel Aldea and David Filliat},
booktitle = {33rd British Machine Vision Conference, {BMVC}},
year = {2022}
}
@inproceedings{deeplabv3plus2018,
title = {Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation},
author = {Liang-Chieh Chen and Yukun Zhu and George Papandreou and Florian Schroff and Hartwig Adam},
booktitle = {ECCV},
year = {2018}
}
Copyright
Copyright for MUAD Dataset is owned by Université Paris-Saclay (SATIE Laboratory, Gif-sur-Yvette, FR) and ENSTA Paris (U2IS Laboratory, Palaiseau, FR).
