YOLO引用哪篇参考文献
时间: 2024-07-28 20:00:18 浏览: 112
YOLO(You Only Look Once)是一种实时目标检测算法,由Joseph Redmon等人在2015年首次提出。YOLO的原始论文是关于单阶段物体检测方法的重要突破,他们将其发表在了《ECCV (European Conference on Computer Vision)》会议上。这篇开创性的工作被称为"You Only Look Once: Real-Time Object Detection"。
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关于yolo5猫狗识别参考文献
以下是关于YOLOv5猫狗识别的一些参考文献:
1. Ultralytics/yolov5: https://github.com/ultralytics/yolov5
2. "YOLOv5: End-to-End Real-Time Object Detection" by Glenn Jocher, https://towardsdatascience.com/yolov5-end-to-end-real-time-object-detection-33f0a374f1fa
3. "Object Detection using YOLOv5" by Anurag Rana, https://towardsdatascience.com/object-detection-using-yolov5-73e1491c14c7
4. "YOLOv5 - Object Detection with the Latest YOLO Algorithm" by Robin Smits, https://heartbeat.fritz.ai/yolov5-object-detection-with-the-latest-yolo-algorithm-2a1c8f7f6a8d
5. "Real-Time Object Detection with YOLOv5" by Harshvardhan Gupta, https://towardsdatascience.com/real-time-object-detection-with-yolov5-5ab9836c1f71
希望这些参考文献能够对你有所帮助!
yolo v7 文献
很抱歉,目前没有 YOLO v7 的官方文献。目前公开的版本是 YOLO v4,它由 Alexey Bochkovskiy、Chien-Yao Wang 和 Hong-Yuan Mark Liao 在论文 "YOLOv4: Optimal Speed and Accuracy of Object Detection" 中提出。YOLO v4 在速度和准确性方面取得了显著的改进,并且在目标检测任务中表现出色。您可以在 arXiv 上找到该论文。