HAODE-Net
Object Detection in Hazy Environments
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Utilized continual learning, multitask learning and knowledge distillation to propose a novel network architecture targeting object detection in a hazy environment; Tested on the SSD and the RTTS datasets;
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Performed extensive experiments and ablation studies verifying the superiority of the proposed framework.
HAODE-Net Presentation Video