@article{ref1,
title="Detecting road obstacles by erasing them",
journal="IEEE transactions on pattern analysis and machine intelligence",
year="2023",
author="Lis, Krzysztof and Honari, Sina and Fua, Pascal and Salzmann, Mathieu",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Vehicles can encounter a myriad of obstacles on the road, and it is impossible to record them all beforehand to train a detector. Instead, we select image patches and inpaint them with the surrounding road texture, which tends to remove obstacles from those patches. We then use a network trained to recognize discrepancies between the original patch and the inpainted one, which signals an erased obstacle.<p /> <p>Language: en</p>",
language="en",
issn="0162-8828",
doi="10.1109/TPAMI.2023.3335152",
url="http://dx.doi.org/10.1109/TPAMI.2023.3335152"
}