Lightweight input adapters preprocess images to match ideal-condition training data for off-the-shelf CV models, enabling self-supervised incremental adaptation and reported gains in segmentation and localization on RobotCar and BDD datasets.
Learning from synthetic data: Addressing domain shift for semantic segmenta- tion,
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Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation
Lightweight input adapters preprocess images to match ideal-condition training data for off-the-shelf CV models, enabling self-supervised incremental adaptation and reported gains in segmentation and localization on RobotCar and BDD datasets.