Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Core Concepts
Existing 3D scene understanding models lack reliable uncertainty estimates, hindering their applicability in safety-critical contexts. Calib3D introduces a depth-aware scaling method to enhance model calibration and improve reliability.
Abstract
Safety-critical 3D scene understanding requires accurate and confident predictions.
Calib3D evaluates 28 models across diverse datasets, highlighting the importance of reliable uncertainty estimates.
DeptS method improves calibration by adjusting confidence scores based on depth information.
The study aims to foster more reliable 3D scene understanding models.