Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
GroupEnsemble: Efficient Uncertainty Estimation for DETR-based Object Detection
Yutong Yang, Katarina PopoviÄ, Julian Wiederer +3
Detection Transformer (DETR) and its variants show strong performance on object detection, a key task for autonomous systems. However, a critical limitation of these models is that…
cs.CV2025
Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?
Miao Zhang, Sherif Abdulatif, Benedikt Loesch +2
Due to the significant effort required for data collection and annotation in 3D perception tasks, mixed sample data augmentation (MSDA) has been widely studied to generate diverse…
cs.CV2024
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions
Miao Zhang, Sherif Abdulatif, Benedikt Loesch +3
The rapid evolution of deep learning and its integration with autonomous driving systems have led to substantial advancements in 3D perception using multimodal sensors. Notably, ra…