HCLOD-Net: Hierarchical Contrastive Learning Guided Object Detection Network for Low-Light UAV Conditions
This proposed method integrates contrastive learning into the detection framework and establishes feature consistency constraints between low-light and normal-light images through a hierarchical contrastive selection encoder, which improves feature robustness without introducing additional inference cost.