Abstract: Object detection has been applied in a wide ... In this paper, we propose a more efficient uncertainty-aware dense detector (UADET) that predicts four-directional localization uncertainties ...

there is inherent uncertainty in autonomous driving object detection models, which may affect the planning and control in autonomous driving. Thus, the rapid and accurate quantification of this ...

This demonstrates that our method enables the detection network to quantify which direction is uncertain due to unclear or ambiguous regions of objects. Estimated uncertainty examples of the proposed ...

In this repo the code belonging to my master thesis titled: "Active Learning for Object Detection With Localization Uncertainty from Sampling-Based Probabilistic Bounding Boxes" can be found. I also ...

In this paper, we address this problem for the single-object localization task by adapting an existing technique for calibrating regression models. We show, experimentally, that the resulting ...

The estimation of uncertainty in robotic vision, such as 3D object detection, is an essential component in developing safe autonomous systems aware of their own performance. However, the deployment of ...

which enables simultaneous detection, localization, and quantification of individual RNA molecules at the cellular level. This technique provides a high degree of specificity and sensitivity, is ideal ...