Score: 0
YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
Published: November 17, 2025 |
arXiv ID: 2511.13344v1
By: Ori Meiraz, Sharon Shalev, Avishai Weizman
Potential Business Impact:
Makes computer vision models smarter at spotting things.
Business Areas:
Image Recognition
Data and Analytics, Software
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.
Similar Papers
100%
YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
CV and Pattern Recognition
Makes computer vision models smarter at finding objects.
17 Nov 2025
0
90%
YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
CV and Pattern Recognition
Lets computers see objects better by thinking smarter.
29 Dec 2025
2
89%
YOLOv1 to YOLOv11: A Comprehensive Survey of Real-Time Object Detection Innovations and Challenges
CV and Pattern Recognition
Helps computers see and understand things faster.
4 Aug 2025
0
Country of Origin
🇮🇱
Israel
Page Count
3 pages
Category
Computer Science:
CV and Pattern Recognition