mlsanityData to 7 Oct 2026

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

arXiv 2511.13344 ↗First posted 17 Nov 2025cs.CVcited by 1

On the map: Mixture-of-experts → Vision mixture-of-experts

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Vision mixture-of-experts, one of 12 directions in Mixture-of-experts. Builds on 14 of its 17 references that are in the map. First posted on arXiv 17 Nov 2025.

Builds on

14 of 17 references.

References · 14

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  2. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
  3. 2017Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layercited by 3,413
  4. 2015SSD: Single Shot MultiBox Detectorcited by 3,125
  5. 2021Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsitycited by 3,014
  6. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,160
  7. 2019Object Detection in 20 Years: A Surveycited by 528
  8. 2018Object Detection with Deep Learning: A Reviewcited by 524
  9. 2024YOLOv9: Learning What You Want to Learn Using Programmable Gradient Informationcited by 422
  10. 2020Detection and Tracking Meet Drones Challengecited by 261
  11. 2017Learning non-maximum suppressioncited by 112
  12. 2025A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applicationscited by 91
2 more
  1. 2024Leveraging Mixture of Experts for Improved Speech Deepfake Detectioncited by 14
  2. 2025ODverse33: Is the New YOLO Version Always Better? A Multi Domain benchmark from YOLO v5 to v11cited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026LER-YOLO: Reliability-Aware Expert Routing for Misaligned RGB-Infrared UAV Detectioncited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
  2. 2026HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection
  3. 2026Domain-Specialized Object Detection via Model-Level Mixtures of Experts
  4. 2023MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
  5. 2025Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection
  6. 2026Mixture-of-Experts Models in Vision: Routing, Optimization, and Generalization
  7. 2024Routers in Vision Mixture of Experts: An Empirical Study
  8. 2024Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization