DC-YOLOv8: Small-Size Object Detection Algorithm Based on Camera Sensor
Qilu University of Technology · Shandong Academy of Sciences · +1 more institution
Abstract
Traditional camera sensors rely on human eyes for observation. However, human eyes are prone to fatigue when observing objects of different sizes for a long time in complex scenes, and human cognition is limited, which often leads to judgment errors and greatly reduces efficiency. Object recognition technology is an important technology used to judge the object’s category on a camera sensor. In order to solve this problem, a small-size object detection algorithm for special scenarios was proposed in this paper. The advantage of this algorithm is that it not only has higher precision for small-size object detection but also can ensure that the detection accuracy for each size is not lower than that of the…
Citation impact
- FWCI
- 56.68
- Percentile
- 100%
- References
- 30
Authors
7- HLHaitong Lou
Qilu University of Technology, Shandong Academy of Sciences
- XDXuehu Duan
Qilu University of Technology, Shandong Academy of Sciences
- JGJunmei Guo
Qilu University of Technology, Shandong Academy of Sciences
- HLHaiying LiuCorresponding
Qilu University of Technology, Shandong Academy of Sciences
- JGJason Gu
Dalhousie University
Topics & keywords
- Computer science
- Artificial intelligence
- Object detection
- Upsampling
- Object (grammar)
- Precision and recall
- Feature (linguistics)
- Context (archaeology)