Article Versions Notes

Ye S, Liu W, Zeng S, Wu G, Chen L, Lai H, Yan Z. SY-Net: A Rice Seed Instance Segmentation Method Based on a Six-Layer Feature Fusion Network and a Parallel Prediction Head Structure. Sensors. 2023; 23(13):6194. https://doi.org/10.3390/s23136194

Ye, Sheng, Weihua Liu, Shan Zeng, Guiju Wu, Liangyan Chen, Huaqing Lai, and Zi Yan. 2023. "SY-Net: A Rice Seed Instance Segmentation Method Based on a Six-Layer Feature Fusion Network and a Parallel Prediction Head Structure" Sensors 23, no. 13: 6194. https://doi.org/10.3390/s23136194

Ye, S., Liu, W., Zeng, S., Wu, G., Chen, L., Lai, H., & Yan, Z. (2023). SY-Net: A Rice Seed Instance Segmentation Method Based on a Six-Layer Feature Fusion Network and a Parallel Prediction Head Structure. Sensors, 23(13), 6194. https://doi.org/10.3390/s23136194