Research papers · 2024.11.21
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty
Overview
MUSES provides synchronized driving sensors and panoptic annotations under adverse conditions. Its annotation process captures class- and instance-level uncertainty, enabling uncertainty-aware segmentation alongside conventional semantic and panoptic perception benchmarks.
Author-supplied source information
Author-supplied information on arXiv.
Proceedings of the European Conference on Computer Vision (ECCV), 2024
Dataset available at http://muses.vision.ee.ethz.ch
Version: arXiv v4 — manuscript revision