Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation

Robust segmentation performance under dense fog is crucial for autonomous driving, but collecting labeled real foggy scene datasets is burdensome in the real world. To this end, existing methods have adapted models trained on labeled clear weather images to the unlabeled real foggy domain. However,...

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Veröffentlicht in:IEEE transactions on image processing 2024, Vol.33, p.6143-6157
Hauptverfasser: Jang, Donggon, Lee, Sunhyeok, Choi, Gyuwon, Lee, Yejin, Son, Sanghyeok, Kim, Dae-Shik
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Sprache:eng
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