Towards Adaptive Adverse Weather Removal via Semantic and Low-Level Visual Perceptual Priors

Today's article comes from the journal of Machine Learning and Knowledge Extraction. The authors are Dong et al., from McMaster University, in Canada. In this paper, they showcase a computer-vision model that can remove rain, snow, or haze from images. Why? To help autonomous cars navigate more easily in adverse weather conditions.

DOI: 10.3390/make8020045

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