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insight - Low-light Object Detection
Robust Object Detection in Extremely Low-Light Environments Using Model Fusion and Specialized Techniques
A comprehensive approach combining transformer-based models, conventional object detection techniques, and specialized training strategies to achieve robust and accurate object detection in extremely low-light environments.
YOLA: Learning Illumination-Invariant Features for Low-Light Object Detection
This research paper introduces YOLA, a novel framework that enhances object detection in low-light conditions by learning illumination-invariant features through a novel Illumination-Invariant Module (IIM).