A unified detection-plus-restoration model with learnable DCT frequency gating reports modest mAP gains over multi-task baselines across rain, fog, snow, and low-light tests, with weaker quantitative support for unseen weather types.
Learning to remove bad weather: Towards robust visual perception for self-driving,
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UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers
A unified detection-plus-restoration model with learnable DCT frequency gating reports modest mAP gains over multi-task baselines across rain, fog, snow, and low-light tests, with weaker quantitative support for unseen weather types.