110 citations · 186 across the 9 of their papers we have counts for
3 papers · 1 filter
Segmentation-guided Domain Adaptation for Efficient Depth Completion
Fabian Märkert, Martin Sunkel, Anselm Haselhoff +1
Complete depth information and efficient estimators have become vital ingredients in scene understanding for automated driving tasks. A major problem for LiDAR-based depth completi…
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Fabian Küppers, Jonas Schneider, Anselm Haselhoff
Reliable spatial uncertainty evaluation of object detection models is of special interest and has been subject of recent work. In this work, we review the existing definitions for…
Confidence Calibration for Object Detection and Segmentation
Fabian Küppers, Anselm Haselhoff, Jan Kronenberger +1
Calibrated confidence estimates obtained from neural networks are crucial, particularly for safety-critical applications such as autonomous driving or medical image diagnosis. Howe…