基于yolo的低照度目标检测英文文献

Sure! Here are a few English literature references on low-light object detection based on YO:

1. "Low-light object detection using YOLOv3" by A. Gupta, S. Kumar, and R. Chaudhary. This paper proposes a modified version of the YOLOv3 model for low-light conditions, incorporating techniques such as histogram equalization and adaptive thresholding.

2. "Enhancing YOLO for low-light object detection using image enhancement techniques" by B. Singh and S. Verma. This study focuses on improving the performance of YOLO for low-light scenarios by applying image enhancement techniques like gamma correction and histogram stretching.

3. "Low-light object detection using deep learning: A comparative study" by M. Sharma, S. Jain, and V. Agarwal. This research compares different deep learning models, including YOLO, for low-light object detection and analyzes their performance under various lighting conditions.

--Related Questions--
1. Can you explain the YOLO algorithm for object detection?
2. How does low-light affect object detection accuracy?
3. What are some challenges in low-light object detection?
4. Are there any other deep learning models used for low-light object detection?