E3DPC-GZSL dynamically calibrates seen-class probabilities using an evidence-based uncertainty estimate, improving generalized zero-shot 3D segmentation over fixed-calibration baselines.
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Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
E3DPC-GZSL dynamically calibrates seen-class probabilities using an evidence-based uncertainty estimate, improving generalized zero-shot 3D segmentation over fixed-calibration baselines.