
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).


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yola-learning-illumination-invariant-features-for-low-light-object-detection


YOLA: Learning Illumination-Invariant Features for Low-Light Object Detection


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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.


robust-object-detection-in-extremely-low-light-environments-using-model-fusion-and-specialized-techniques


Robust Object Detection in Extremely Low-Light Environments Using Model Fusion and Specialized Techniques
