An improved small object detection method based on Yolo V3

• Published in: Pattern analysis and applications : PAA Vol. 24; no. 3; pp. 1347 - 1355
• Main Authors: Xianbao, Cheng, Guihua, Qiu, Yu, Jiang, Zhaomin, Zhu
• Format: Journal Article
• Language: English
• Published: London Springer London 01.08.2021; Springer Nature B.V
• Subjects: Accuracy; Algorithms; Computer architecture; Computer Science; Convolution; Feature maps; Image acquisition; Image segmentation; Object recognition; Pattern Recognition; Short Paper; Target detection; Deep learning; YOLO V3; Feature acquisition; Small object; Sampling

In this paper, an improved algorithm based on Yolo V3 is proposed, which can effectively improve the accuracy of small target detection. First of all, the feature map acquisition network is improved. The image double-segmentation and bilinear upsampling network are used to replace the 2-step downsam...