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Found 2 papers, 1 papers with code
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning
In this paper, we present the first approach that addresses the inherent ambiguities present in pseudo labels by introducing an Evidential Deep Learning (EDL) based uncertainty estimation framework.
Exploring Geometric Consistency for Monocular 3D Object Detection
In addition, we demonstrate that the augmentation methods are well suited for semi-supervised training and cross-dataset generalization.
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