Original PyTorch implementation of the paper "Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach", published at the British Machine Vision Conference (BMVC) 2022.
Unsupervised condition-level adaptation for semantic segmentation
UFPR-VCR: a dataset for vehicle color recognition that includes 10,039 images of vehicles in a wide range of real-world conditions, such as frontal and rear views, partial occlusions, diverse lighting situations, and nighttime scenes.
Original PyTorch implementation of the paper "Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions", published at the EEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024.
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