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cs.CV2025
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
Hanieh Shojaei Miandashti, Claus Brenner
In addition to accurate scene understanding through precise semantic segmentation of LiDAR point clouds, detecting out-of-distribution (OOD) objects, instances not encountered duri…
cs.CV2025
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation
Hanieh Shojaei Miandashti, Qianqian Zou, Claus Brenner
Reliable deep learning models require not only accurate predictions but also well-calibrated confidence estimates to ensure dependable uncertainty estimation. This is crucial in sa…