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20222026
most citedClassifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification

1 citations · 3 across the 13 of their papers we have counts for

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cs.CV2025

D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation

Maik Steinhauser, Laurenz Reichardt, Nikolas Ebert +1

This paper introduces a novel approach to 4D Panoptic LiDAR Segmentation that decouples semantic and instance segmentation, leveraging single-scan semantic predictions as prior inf…

cs.CV2025★ 1 cited

Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification

Michael Schulze, Nikolas Ebert, Laurenz Reichardt +1

This paper investigates novel classifier ensemble techniques for uncertainty calibration applied to various deep neural networks for image classification. We evaluate both accuracy…