24 citations · 96 across the 43 of their papers we have counts for
4 papers · 1 filter
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning
Monish R. Nallapareddy, Kshitij Sirohi, Paulo L. J. Drews-Jr +3
Uncertainty estimation is crucial in safety-critical settings such as automated driving as it provides valuable information for several downstream tasks including high-level decisi…
Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection
Nguyen Anh Vu Doan, Arda Yüksel, Chih-Hong Cheng
This work aims to explore and identify tiny and seemingly unrelated perturbations of images in object detection that will lead to performance degradation. While tininess can natura…
USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous Driving
Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen +1
In this work, we consider the safety-oriented performance of 3D object detectors in autonomous driving contexts. Specifically, despite impressive results shown by the mass literatu…
Safety Metrics for Semantic Segmentation in Autonomous Driving
Chih-Hong Cheng, Alois Knoll, Hsuan-Cheng Liao
Within the context of autonomous driving, safety-related metrics for deep neural networks have been widely studied for image classification and object detection. In this paper, we…