HAODE-Net

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;

Performed extensive experiments and ablation studies verifying the superiority of the proposed framework.