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2020 – today
- 2020
[j5]Ruud Barth, Jochen Hemming, Eldert J. van Henten:
Optimising realism of synthetic images using cycle generative adversarial networks for improved part segmentation. Comput. Electron. Agric. 173: 105378 (2020)- [j4]Boaz Arad
, Jos Balendonck, Ruud Barth, Ohad Ben-Shahar, Yael Edan, Thomas Hellström, Jochen Hemming, Polina Kurtser, Ola Ringdahl, Toon Tielen, Bart van Tuijl:
Development of a sweet pepper harvesting robot. J. Field Robotics 37(6): 1027-1039 (2020)
2010 – 2019
- 2019
- [j3]Ruud Barth, Joris IJsselmuiden, Jochen Hemming, Eldert J. van Henten:
Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation. Comput. Electron. Agric. 161: 291-304 (2019) - 2018
- [j2]Ruud Barth, Joris IJsselmuiden, Jochen Hemming, Eldert J. van Henten:
Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset. Comput. Electron. Agric. 144: 284-296 (2018) - [i1]Ruud Barth, Jochen Hemming, Eldert J. van Henten:
Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks. CoRR abs/1803.06301 (2018) - 2017
- [j1]C. Wouter Bac, Jochen Hemming, B. A. J. van Tuijl, Ruud Barth, Ehud Wais, Eldert J. van Henten:
Performance Evaluation of a Harvesting Robot for Sweet Pepper. J. Field Robotics 34(6): 1123-1139 (2017)
Coauthor Index
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