3 papers
cs.CV2024
Improved Single Camera BEV Perception Using Multi-Camera Training
Daniel Busch, Ido Freeman, Richard Meyes +1
Bird's Eye View (BEV) map prediction is essential for downstream autonomous driving tasks like trajectory prediction. In the past, this was accomplished through the use of a sophis…
cs.LG2024
Task Weighting through Gradient Projection for Multitask Learning
Christian Bohn, Ido Freeman, Hasan Tercan +1
In multitask learning, conflicts between task gradients are a frequent issue degrading a model's training performance. This is commonly addressed by using the Gradient Projection a…
cs.CV2024
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
Sadia Ilyas, Ido Freeman, Matthias Rottmann
Out-of-distribution (OOD) object detection is a critical task focused on detecting objects that originate from a data distribution different from that of the training data. In this…