no code implementations • 26 Mar 2020 • Xiaoye Sun, Gongyan Li, Shaoyun Xu
Deep learning achieves excellent performance in many domains, so we not only apply it to the navel orange semantic segmentation task to solve the two problems of distinguishing defect categories and identifying the stem end and blossom end, but also propose a fastidious attention mechanism to further improve model performance.
no code implementations • 24 May 2019 • Xiaoye Sun, Gongyan Li, Shaoyun Xu
To accurately and efficiently distinguish the stem end and the blossom end of navel orange from its black spots, we propose a feature skyscraper detector (FSD) with low computational cost, compact architecture and high detection accuracy.
no code implementations • 31 Mar 2019 • Xiaoye Sun, Liyan Ma, Gongyan Li
To solve the red jujube classification problem, this paper designs a convolutional neural network model with low computational cost and high classification accuracy.