CADENet introduces an asynchronous dual-stream enhancement network with CAPE and EG-NMS plus CLIP zero-shot classification to improve camera-based detection in rain, fog, snow and sand without retraining or latency penalty, reporting low F1 scores on DAWN as lower bounds due to annotation bias.
Seeing through fog without seeing fog: Deep multi- modal sensor fusion in unseen adverse weather,
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CADENet: Condition-Adaptive Asynchronous Dual-Stream Enhancement Network for Adverse Weather Perception in Autonomous Driving
CADENet introduces an asynchronous dual-stream enhancement network with CAPE and EG-NMS plus CLIP zero-shot classification to improve camera-based detection in rain, fog, snow and sand without retraining or latency penalty, reporting low F1 scores on DAWN as lower bounds due to annotation bias.