Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. Choi, T., Would, O., Salazar-Gomez, A., & Cielniak, G. In 2022 International Conference on Robotics and Automation (ICRA), pages 2266–2272, May, 2022. IEEE.
Paper doi bibtex @inproceedings{g885ht,
author = {Choi, Taeyeong and Would, Owen and Salazar-Gomez, Adrian and Cielniak, Grzegorz},
booktitle = {2022 International Conference on Robotics and Automation (ICRA)},
doi = {10.1109/icra46639.2022.9811954},
link = {https://doi.org/10.1109/icra46639.2022.9811954},
month = {May},
pages = {2266–2272},
publisher = {IEEE},
title = {Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies},
url = {http://dx.doi.org/10.1109/icra46639.2022.9811954},
year = {2022}
}
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