mlsanityData to 7 Oct 2026

YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems

arXiv 2408.09332 ↗First posted 18 Aug 2024cs.CVcited by 6

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Abstract (arXiv)

This is a comprehensive review of the YOLO series of systems. Different from previous literature surveys, this review article re-examines the characteristics of the YOLO series from the latest technical point of view. At the same time, we also analyzed how the YOLO series continued to influence and promote real-time computer vision-related research and led to the subsequent development of computer vision and language models.We take a closer look at how the methods proposed by the YOLO series in the past ten years have affected the development of subsequent technologies and show the applications of YOLO in various fields. We hope this article can play a good guiding role in subsequent real-time computer vision development.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 82 of its 103 references that are in the map. First posted on arXiv 18 Aug 2024.

Builds on

82 of 103 references.

References · 82

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38 more
  1. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,160
  2. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,624
  3. 2016YOLO9000: Better, Faster, Strongercited by 1,429
  4. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,275
  5. 2018ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Designcited by 1,132
  6. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,064
  7. 2019EfficientDet: Scalable and Efficient Object Detectioncited by 1,018
  8. 2022YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorscited by 978
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  10. 2018Path Aggregation Network for Instance Segmentationcited by 796
  11. 2014Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognitioncited by 719
  12. 2021RepVGG: Making VGG-style ConvNets Great Againcited by 520
  13. 2024YOLOv10: Real-Time End-to-End Object Detectioncited by 508
  14. 2024YOLO-World: Real-Time Open-Vocabulary Object Detectioncited by 498
  15. 2020FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Trackingcited by 489
  16. 2019Hybrid Task Cascade for Instance Segmentationcited by 479
  17. 2019YOLACT: Real-time Instance Segmentationcited by 441
  18. 2024YOLOv9: Learning What You Want to Learn Using Programmable Gradient Informationcited by 422
  19. 2019GhostNet: More Features from Cheap Operationscited by 410
  20. 2020Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detectioncited by 408
  21. 2019CSPNet: A New Backbone that can Enhance Learning Capability of CNNcited by 381
  22. 2019Towards Real-Time Multi-Object Trackingcited by 311
  23. 2018An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solutioncited by 302
  24. 2023Fast Segment Anythingcited by 286
  25. 2022YOLOv6: A Single-Stage Object Detection Framework for Industrial Applicationscited by 273
  26. 2018Deep Learning in Spiking Neural Networkscited by 258
  27. 2013OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networkscited by 224
  28. 2021TOOD: Task-aligned One-stage Object Detectioncited by 218
  29. 2020Scaled-YOLOv4: Scaling Cross Stage Partial Networkcited by 211
  30. 2017Real-Time Seamless Single Shot 6D Object Pose Predictioncited by 210
  31. 2021OTA: Optimal Transport Assignment for Object Detectioncited by 177
  32. 2020FCOS: A simple and strong anchor-free object detectorcited by 171
  33. 2019Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Drivingcited by 105
  34. 2020Rethinking the competition between detection and ReID in Multi-Object Trackingcited by 101
  35. 2021You Only Learn One Representation: Unified Network for Multiple Taskscited by 86
  36. 2019YOLACT++: Better Real-time Instance Segmentationcited by 84
  37. 2021YOLOP: You Only Look Once for Panoptic Driving Perceptioncited by 82
  38. 2019HarDNet: A Low Memory Traffic Networkcited by 76

50 most cited of 82 All 82 (JSON)

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Cited by year

Citing papers per year: 2024: 1; 2025: 5.

6 papers.

  1. 2025YOLOv8 to YOLO11: A Comprehensive Architecture In-depth Comparative Reviewcited by 15
  2. 2025A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11ncited by 1
  3. 2024Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challengescited by 0
  4. 2025LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoringcited by 0
  5. 2025CGF-DETR: Cross-Gated Fusion DETR for Enhanced Pneumonia Detection in Chest X-rayscited by 0
  6. 2025CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative Systemcited by 0