Introduces an architecture-agnostic Adapter Head and Invascal self-calibration objective to produce calibrated evidential uncertainty estimates for LiDAR range-view semantic segmentation while preserving accuracy.
Calibrated and efficient sampling-free confidence estimation for lidar scene semantic segmen- tation,
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Invascal: Inverse-Vacuity Self-Calibration for Uncertainty-Aware LiDAR Range-View Semantic Segmentation
Introduces an architecture-agnostic Adapter Head and Invascal self-calibration objective to produce calibrated evidential uncertainty estimates for LiDAR range-view semantic segmentation while preserving accuracy.