mlsanityData to 14 Oct 2026

WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention

arXiv 2604.22824 ↗First posted 19 Apr 2026cs.CV cs.AIcited by 0

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Abstract (arXiv)

WeatherSeg, an advanced semi-supervised segmentation framework, addresses autonomous driving's environmental perception challenges in adverse weather while reducing annotation costs. This framework integrates a Dual Teacher-Student Weight-Sharing Model (DTSWSM) that enables knowledge distillation from weather-affected images, and a Classifier Weight Updating Attention Mechanism (CWUAM) that dynamically adjusts classifier weights based on environmental attributes. Comprehensive evaluations demonstrate that WeatherSeg significantly outperforms baseline models in both accuracy and robustness across various weather conditions, including clear, rainy, cloudy, and foggy scenarios, establishing it as an effective solution for all-weather semantic segmentation in autonomous driving and related applications.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 46 references that are in the map. First posted on arXiv 19 Apr 2026.

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21 of 46 references.

References · 21

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9 more
  1. 2022Semi-supervised Semantic Segmentation with Error Localization Networkcited by 57
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  1. 2026WeatherReasonSeg: A Benchmark for Weather-Aware Reasoning Segmentation in Visual Language Models
  2. 2024UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
  3. 2023WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models
  4. 2022Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather
  5. 2025Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix
  6. 2026Cyclone: Diffusion Model for Cycle-Consistent Weather Editing from Unpaired Driving Data
  7. 2026AW-MoE: All-Weather Mixture of Experts for Robust Multi-Modal 3D Object Detection
  8. 2024WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation