This repository contains the code related to the approaches described in these papers:
- Pseudo-label Generation for Agricultural Robotics Applications
- Weakly and semi-supervised detection, segmentation and tracking of table grapes with limited and noisy data
If you find this code useful, pleas cite us using the following bibtex entries:
@InProceedings{Ciarfuglia_2022_CVPR,
author = {Ciarfuglia, Thomas A. and Motoi, Ionut Marian and Saraceni, Leonardo and Nardi, Daniele},
title = {Pseudo-Label Generation for Agricultural Robotics Applications},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2022},
pages = {1686-1694}
}
@article{CIARFUGLIA2023107624,
title = {Weakly and semi-supervised detection, segmentation and tracking of table grapes with limited and noisy data},
journal = {Computers and Electronics in Agriculture},
volume = {205},
pages = {107624},
year = {2023},
issn = {0168-1699},
doi = {https://doi.org/10.1016/j.compag.2023.107624},
url = {https://www.sciencedirect.com/science/article/pii/S0168169923000121},
author = {Thomas A. Ciarfuglia and Ionut M. Motoi and Leonardo Saraceni and Mulham Fawakherji and Alberto Sanfeliu and Daniele Nardi},
}
