Overlapped 15 1

Overlapped 15-1 is an advanced computer vision technique designed to improve the accuracy and robustness of object detection and recognition through multi-scale feature fusion and enhanced contextual information. This method effectively addresses the challenge of detecting small objects by performing overlapping operations on feature maps at different levels, thereby enhancing recognition performance in complex scenes. It holds significant application value in fields such as autonomous driving, security surveillance, and medical image analysis, significantly boosting the intelligence and reliability of systems.