May 10, 2023 · This paper optimizes the model structure of the YOLOv7 algorithm, and only retains the two detection head structures with high feature resolution.

The improved YOLOv7xs model has the potential for wide application in small target recognition and the potential to avoid the harm of toxic substances ...

In view of the small impurities' characteristics, this paper optimizes the model structure of the YOLOv7 algorithm, and only retains the two detection head ...

In this paper, an improved YOLOv7 model is proposed to detect small cigarette impurities mixed in cigarette stems. According to the experiments, the proposed ...

NASA/ADS · Few-Shot Learning for Small Impurities in Tobacco Stems With Improved YOLOv7.

Xue S. et al. Few-shot Learning for small Impurities in Tobacco Stems with Improved YOLOv7 // IEEE Access. 2023. Vol. 11. pp. 48136-48144. ... Xue S., Li Z., WU R ...

To solve this issue, we propose an efficient YOLOv7-UAV algorithm in which a low-level prediction head (P2) is added to detect small objects from the shallow ...

Few-shot learning for small impurities in tobacco stems with improved YOLOv7. S Xue, Z Li, R Wu, T Zhu, Y Yuan, C Ni. IEEE Access 11, 48136-48144, 2023. 9, 2023.

We propose an efficient YOLOv7-UAV algorithm in which a low-level prediction head (P2) is added to detect small objects from the shallow feature map.

Few-Shot Learning for Small Impurities in Tobacco Stems With Improved YOLOv7. Author: Xue, Sheng ; Zhu, Tingting ; Ni, Chao ; Li, Zhenye ; Yuan, Yangchun ...