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Detecting Road Obstacles by Erasing Them
December 25, 2020 Β· Declared Dead Β· π IEEE Transactions on Pattern Analysis and Machine Intelligence
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Authors
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
arXiv ID
2012.13633
Category
cs.CV: Computer Vision
Citations
51
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Last Checked
3 months ago
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.
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