A product of pairwise Gaussian win probabilities gives a sampling-free, well-calibrated confidence estimate for top-1 classification, validated on LiDAR segmentation at 15-18x lower inference cost.
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Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation
A product of pairwise Gaussian win probabilities gives a sampling-free, well-calibrated confidence estimate for top-1 classification, validated on LiDAR segmentation at 15-18x lower inference cost.