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.
Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies [link]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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