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https://hdl.handle.net/10356/178582| Title: | IROS 2019 lifelong robotic vision: object recognition challenge [competitions] | Authors: | Bae, Heechul Brophy, Eoin Chan, Rosa H. M. Chen, Baoquan Feng, Fan Graffieti, Gabriele Goel, Vidit Hao, Xinyue Han, Hyonyoung Kanagarajah, Sathursa Kumar, Somesh Lam, Siew-Kei Lam, Tin Lun Lan, Chuanlin Liu, Qi Lomonaco, Vincenzo Ma, Liang Maltoni, Davide Parisi, German I. Pellegrini, Lorenzo Piyasena, Duvindu Pu, Shiliang She, Qi Sheet, Debdoot Song, Soonyong Son, Youngsung Wang, Zhengwei Ward, Tomas E. Wu, Jianwen Wu, Meiqing Xie, Di Xu, Yangsheng Yang, Lin Yang, Qihan Zhong, Qiaoyong Zhou, Liguang |
Keywords: | Computer and Information Science | Issue Date: | 2020 | Source: | Bae, H., Brophy, E., Chan, R. H. M., Chen, B., Feng, F., Graffieti, G., Goel, V., Hao, X., Han, H., Kanagarajah, S., Kumar, S., Lam, S., Lam, T. L., Lan, C., Liu, Q., Lomonaco, V., Ma, L., Maltoni, D., Parisi, G. I., ...Zhou, L. (2020). IROS 2019 lifelong robotic vision: object recognition challenge [competitions]. IEEE Robotics and Automation Magazine, 27(2), 11-16. https://dx.doi.org/10.1109/MRA.2020.2987186 | Journal: | IEEE Robotics and Automation Magazine | Abstract: | This report summarizes the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019 Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with the data set, rules, methods, and results from the top eight finalists (of over 150 teams) . Individual reports, data set information, rules, and released source codes can be found at the project home page. | URI: | https://hdl.handle.net/10356/178582 | ISSN: | 1070-9932 | DOI: | 10.1109/MRA.2020.2987186 | Schools: | College of Computing and Data Science School of Computer Science and Engineering |
Rights: | © 2020 IEEE. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
| Appears in Collections: | CCDS Journal Articles |
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