YOLO 论文集锦

版本	发表时间	论文链接	代码链接
YOLO V1	2015年6月	You Only Look Once: Unified, Real-Time Object Detection	https://github.com/tanjeffreyz/yolo-v1
YOLO V2	2016年12月	YOLO9000: Better, Faster, Stronger	https://github.com/vietnh1009/Yolo-v2-pytorch/
YOLO V3	2018年4月	YOLOv3: An Incremental Improvement	https://docs.ultralytics.com/zh/models/yolov3/
YOLO V4	2020年4月	YOLOv4: Optimal Speed and Accuracy of Object Detection	https://github.com/AlexeyAB/darknet
YOLO V5	2020年6月	What is YOLOv5: A deep look into the internal features of the popular object detector	https://github.com/ultralytics/yolov5
YOLO V6	2022年6月	YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications	https://github.com/meituan/YOLOv6/tree/main
YOLO V7	2022年7月	YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors	https://github.com/WongKinYiu/yolov7
YOLO V8	2023年1月	What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector	https://github.com/ultralytics/ultralytics
YOLO V9	2024年2月	YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information	https://github.com/WongKinYiu/yolov9
YOLO V10	2024年5月	YOLOv10: Real-Time End-to-End Object Detection	https://github.com/THU-MIG/yolov10
YOLO V11	2024年9月	YOLOv11: An Overview of the Key Architectural Enhancements	https://github.com/ultralytics/ultralytics
YOLO V12	2025年2月	YOLOv12: Attention-Centric Real-Time Object Detectors	https://github.com/sunsmarterjie/yolov12