CLAD: A realistic Continual Learning benchmark for Autonomous Driving

Author:

Verwimp EliORCID,Yang Kuo,Parisot Sarah,Hong Lanqing,McDonagh Steven,Pérez-Pellitero Eduardo,De Lange Matthias,Tuytelaars Tinne

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference72 articles.

1. Online continual learning with maximal interfered retrieval;Aljundi;Advances in Neural Information Processing Systems,2019

2. Aljundi, R., Kelchtermans, K., & Tuytelaars, T. (2019). Task-free continual learning. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 11254–11263).

3. Bang, J., Kim, H., Yoo, Y., Ha, J.-W., & Choi, J. (2021). Rainbow Memory: Continual Learning with a Memory of Diverse Samples. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 8218–8227).

4. Dark experience for general continual learning: A strong, simple baseline;Buzzega;Advances in Neural Information Processing Systems,2020

5. Reducing representation drift in online continual learning;Caccia,2021

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