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OLiVES: An Outdoor Low-Light Video Benchmark for Enhancement and Segmentation
Low-light video processing remains an underexplored problem in computer vision, primarily due to the scarcity of high-quality ground-truth data. Existing public datasets exhibit several limitations, including restricted motion diversity, limited scene coverage, weak degradations, reliance on auxilia
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