URVIS 2026 is the first challenge on adverse-to-extreme panoptic segmentation, drawing 17 participants and 47 submissions while introducing weighted Panoptic Quality as the ranking metric on the MUSES dataset.
Aurora-kitti: Any-weather depth completion and denoising in the wild.arXiv preprint arXiv:2603.14701
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Adverse-to-the-eXtreme Panoptic Segmentation: URVIS 2026 Study and Benchmark
URVIS 2026 is the first challenge on adverse-to-extreme panoptic segmentation, drawing 17 participants and 47 submissions while introducing weighted Panoptic Quality as the ranking metric on the MUSES dataset.