Adverse Weather-Immune Semantic Segmentation with Unfolded Regularization and Foundation Model Knowledge Distillation for Autonomous Driving
Various adverse weather conditions pose a significant challenge to autonomous driving (AD) street scene semantic understanding (segmentation). A common strategy is to minimize the disparity between images captured in clear and adverse weather conditions. However, this technique typically relies on u...
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Veröffentlicht in: | arXiv.org 2024-11 |
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