8 citations · 23 across the 27 of their papers we have counts for
3 papers · 1 filter
Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning
Christoph Hümmer, Manuel Schwonberg, Liangwei Zhou +3
Domain generalization (DG) remains a significant challenge for perception based on deep neural networks (DNNs), where domain shifts occur due to synthetic data, lighting, weather,…
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks
Laura Fieback, Bidya Dash, Jakob Spiegelberg +1
Quantifying predictive uncertainty of deep semantic segmentation networks is essential in safety-critical tasks. In applications like autonomous driving, where video data is availa…
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes
Youssef Shoeb, Robin Chan, Gesina Schwalbe +3
In the life cycle of highly automated systems operating in an open and dynamic environment, the ability to adjust to emerging challenges is crucial. For systems integrating data-dr…