AI RESEARCH
A Robust Semantic Segmentation Pipeline for the CVPR 2026 8th UG2+ Challenge Track 2
arXiv CS.CV
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ArXi:2605.22216v1 Announce Type: new This report presents our solution for the WeatherProof Dataset Challenge, namely CVPR 2026 8th UG2+ Challenge Track 2: Semantic Segmentation in Adverse Weather. For the semantic segmentation task under adverse weather conditions, we propose a semi-supervised segmentation pipeline. Our method is trained exclusively on the WeatherProof dataset, without using any additional external data. Specifically, we adopt UniMatch V2 as the baseline model and treat all degraded-weather images as unlabeled data for semi-supervised.