Publisher
Springer Science and Business Media LLC
Reference29 articles.
1. Arthur, D., & Vassilvitskii, S. (2007). k-means++: The advantages of careful seeding. Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithm, 1027–1036.
2. Blender, T., Buchner, T., Fernandez, B., Pichlmaier, B., & Schlegel, C. (2016). Managing a mobile agricultural robot swarm for a seeding task. Annual Conference of the IEEE Industrial Electronics Society, 6879–6886.
3. Botterill, T., Paulin, S., Green, R., Williams, S., Lin, J., Saxton, V., Mills, S., Chen, X., & Corbett-Davies, S. (2017). A Robot system for pruning grape vines. Journal of Field Robotics, 34(6), 1100–1122.
4. Chen, L., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018). Encoder-decoder with atrous separable convolution for semantic image segmentation. European Conference on Computer Vision, 801–818.
5. Chollet, F. (2017). Xception: Deep learning with depthwise separable convolutions. IEEE Conference on Computer Vision and Pattern Recognition, pp.1800–1807.