Cite
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions.
MLA
Lomonaco, Vincenzo, et al. “CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions.” Artificial Intelligence, vol. 303, Feb. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.artint.2021.103635.
APA
Lomonaco, V., Pellegrini, L., Rodriguez, P., Caccia, M., She, Q., Chen, Y., Jodelet, Q., Wang, R., Mai, Z., Vazquez, D., Parisi, G. I., Churamani, N., Pickett, M., Laradji, I., & Maltoni, D. (2022). CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artificial Intelligence, 303, N.PAG. https://doi.org/10.1016/j.artint.2021.103635
Chicago
Lomonaco, Vincenzo, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, et al. 2022. “CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions.” Artificial Intelligence 303 (February): N.PAG. doi:10.1016/j.artint.2021.103635.