Continual Learning

Continual learning on 3D point clouds with random compressed rehearsal
This work proposes a novel neural network architecture capable of continual learning on 3D point cloud data by using rehearsal and reconstruction as regularization methods of the learning process and achieves a significant decrease of catastrophic forgetting.
Maciej Zamorski, Michał Stypułkowski, Konrad Karanowski, Tomasz Trzciński, Maciej Zięba
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