1.6k citations · 14.7k across the 100 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024★ 3 cited
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
Jan Küchler, Daniel Kröll, Sebastian Schoenen +1
Deep neural network models for image segmentation can be a powerful tool for the automation of motor claims handling processes in the insurance industry. A crucial aspect is the re…
cs.CV2023
Identifying Label Errors in Object Detection Datasets by Loss Inspection
Marius Schubert, Tobias Riedlinger, Karsten Kahl +4
Labeling datasets for supervised object detection is a dull and time-consuming task. Errors can be easily introduced during annotation and overlooked during review, yielding inaccu…