no code implementations • 6 Oct 2023 • Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
In this work, we present a framework that formulates the visual servoing task as graph traversal.
1 code implementation • 12 Nov 2022 • Silvio Galesso, Max Argus, Thomas Brox
In this paper, we show that nearest-neighbor approaches also yield state-of-the-art results on dense novelty detection in complex driving scenes when working with an appropriate feature representation.
Ranked #1 on Anomaly Detection on Fishyscapes L&F (using extra training data)
1 code implementation • 30 Aug 2022 • Silvio Galesso, Maria Alejandra Bravo, Mehdi Naouar, Thomas Brox
Detection of out-of-distribution (OoD) samples in the context of image classification has recently become an area of interest and active study, along with the topic of uncertainty estimation, to which it is closely related.
Out-of-Distribution Detection Out of Distribution (OOD) Detection +2
1 code implementation • 18 Feb 2021 • Sudhanshu Mittal, Silvio Galesso, Thomas Brox
Contemporary neural networks are limited in their ability to learn from evolving streams of training data.
1 code implementation • ECCV 2018 • Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
Optical flow estimation can be formulated as an end-to-end supervised learning problem, which yields estimates with a superior accuracy-runtime tradeoff compared to alternative methodology.