Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hagn, Korbinian"'
Autor:
Sha, Qutub Syed, Paulitsch, Michael, Pattabiraman, Karthik, Hagn, Korbinian, Oboril, Fabian, Buerkle, Cornelius, Scholl, Kay-Ulrich, Hinz, Gereon, Knoll, Alois
As transformer-based object detection models progress, their impact in critical sectors like autonomous vehicles and aviation is expected to grow. Soft errors causing bit flips during inference have significantly impacted DNN performance, altering pr
Externí odkaz:
http://arxiv.org/abs/2406.03229
Autor:
Syed, Qutub, Paulitsch, Michael, Hagn, Korbinian, Cihangir, Neslihan Kose, Scholl, Kay-Ulrich, Oboril, Fabian, Hinz, Gereon, Knoll, Alois
We introduce Situation Monitor, a novel zero-shot Out-of-Distribution (OOD) detection approach for transformer-based object detection models to enhance reliability in safety-critical machine learning applications such as autonomous driving. The Situa
Externí odkaz:
http://arxiv.org/abs/2406.03188
Autor:
Qutub, Syed Sha, Kose, Neslihan, Rosales, Rafael, Paulitsch, Michael, Hagn, Korbinian, Geissler, Florian, Peng, Yang, Hinz, Gereon, Knoll, Alois
This paper introduces the Budding Ensemble Architecture (BEA), a novel reduced ensemble architecture for anchor-based object detection models. Object detection models are crucial in vision-based tasks, particularly in autonomous systems. They should
Externí odkaz:
http://arxiv.org/abs/2309.08036
Autor:
Grau, Oliver, Hagn, Korbinian
The VALERIE tool pipeline is a synthetic data generator developed with the goal to contribute to the understanding of domain-specific factors that influence perception performance of DNNs (deep neural networks). This work was carried out under the Ge
Externí odkaz:
http://arxiv.org/abs/2308.09632
Mobile video consumption is increasing and sophisticated video quality adaptation strategies are required to deal with mobile throughput fluctuations. These adaptation strategies have to keep the switching frequency low, the average quality high and
Externí odkaz:
http://arxiv.org/abs/1808.08065