40 citations · 40 across the 3 of their papers we have counts for
3 papers
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
Liangyu Zhong, Joachim Sicking, Fabian Hüger +1
Semantic segmentation networks have achieved significant success under the assumption of independent and identically distributed data. However, these networks often struggle to det…
Tailored Uncertainty Estimation for Deep Learning Systems
Joachim Sicking, Maram Akila, Jan David Schneider +4
Uncertainty estimation bears the potential to make deep learning (DL) systems more reliable. Standard techniques for uncertainty estimation, however, come along with specific combi…
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing
Andreas Bär, Jonas Löhdefink, Nikhil Kapoor +4
Enabling autonomous driving (AD) can be considered one of the biggest challenges in today's technology. AD is a complex task accomplished by several functionalities, with environme…