Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation
Published in IEEE/CVF International Conference on Computer Vision (ICCV), 2023
This paper presents a contrastive model adaptation approach to improve the robustness of semantic segmentation models across different environmental conditions.
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Recommended citation: David Bruggemann, Christos Sakaridis, Tim Broedermann, and Luc Van Gool. (2023). "Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation." ICCV.
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