Author:
Zhou Jialong,Ji Daxiong,Zhao Jian,Zhu Songming,Peng Zequn,Lu Guoxing,Ye Zhangying
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference28 articles.
1. Chen, Y., Wang, X., Liu, Z., et al., 2020. A new meta-baseline for few-shot learning[J]. arXiv preprint arXiv:2003.04390, 2(3), 5. https://arxiv.org/abs/2003.04390.
2. Multi-level semantic feature augmentation for one-shot learning[J];Chen;IEEE Trans. Image Process.,2019
3. A computer vision system for oocyte counting using images captured by smartphone[J];Costa;Aquac. Eng.,2019
4. Deep learning applied in fish reproduction for counting larvae in images captured by smartphone[J];Costa;Aquac. Eng.,2022
5. Douglas, D.H., Peucker, T.K., 1973. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature[J]. Cartographica: the international journal for geographic information and geovisualization 10(2), 112–122.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Adaptive density guided network with CNN and Transformer for underwater fish counting;Journal of King Saud University - Computer and Information Sciences;2024-07
2. Deep Learning-Assisted Milkfish Fingerling Counting: Towards Automation in Fish Industry Practices;Proceedings of the 2024 10th International Conference on Computer Technology Applications;2024-05-15