A hierarchical neural-process model with scene- and object-level latent variables and a probabilistic prototype modulator improves click-based 3D segmentation and supplies per-point uncertainty maps.
Uncertainty quantification with statistical guarantees in end-to-end autonomous driv- ing control
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Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
A hierarchical neural-process model with scene- and object-level latent variables and a probabilistic prototype modulator improves click-based 3D segmentation and supplies per-point uncertainty maps.