YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection

This work addresses robust object detection for computer vision applications, but it appears incremental as it builds on existing YOLO methods.

The paper tackled improving object detection by proposing a Mixture-of-Experts framework with adaptive routing among multiple YOLOv9-T experts, resulting in higher mean Average Precision (mAP) and Average Recall (AR) compared to a single YOLOv9-T model.