YOLO与专家混合模型相遇：用于鲁棒目标检测的自适应专家路由 / YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
1️⃣ 一句话总结
这篇论文提出了一种新的目标检测方法，通过将多个YOLOv9-T模型组合成一个‘专家混合’系统，并让网络自动选择最合适的专家来处理不同图像特征，从而比单个模型更准确地识别和定位物体。
🤖 系统
Abstract - YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
This paper presents a novel Mixture-of-Experts framework for object detection, incorporating adaptive routing among multiple YOLOv9-T experts to enable dynamic feature specialization and achieve higher mean Average Precision (mAP) and Average Recall (AR) compared to a single YOLOv9-T model.