1．CVPR2013 - You Only Look Once: Unified, Real-Time Object Detection
开源代码：https://pjreddie.com/darknet/yolo/
2. CVPR2017 - YOLO9000: Better, Faster, Stronger
开源代码：https://pjreddie.com/darknet/yolo/
3. CVPR2018 - YOLOv3: An Incremental Improvement
开源代码（PyTorch）：https://github.com/ultralytics/yolov3
开源代码（TensorFlow）：https://github.com/qqwweee/keras-yolo3
4. CVPR2020 - YOLOv4: Optimal Speed and Accuracy of Object Detection
开源代码：https://github.com/AlexeyAB/darknet
5. YOLOv5 Documentation https://docs.ultralytics.com/
开源代码：https://github.com/ultralytics/yolov5
6. CVPR2021 - YOLOX: Exceeding YOLO Series in 2021
开源代码：https://github.com/Megvii-BaseDetection/YOLOX
7. YOLOv6：又快又准的目标检测框架开源啦
https://tech.meituan.com/2022/06/23/yolov6-a-fast-and-accurate-target-detection-framework-is-opening-source.html
开源代码：https://github.com/meituan/YOLOv6
8. CVPR2022 - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
开源代码：https://github.com/wongkinyiu/yolov7
