A dual-branch geometry and reflectance network with information-bottleneck and multi-level fusion improves LiDAR semantic segmentation generalization under fog, rain, and snow.
Invariance principle meets in- formation bottleneck for out-of-distribution generalization
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Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
A dual-branch geometry and reflectance network with information-bottleneck and multi-level fusion improves LiDAR semantic segmentation generalization under fog, rain, and snow.