Autoencoder extracts class prototypes whose means enable metric classification in incremental learning, matching SOTA accuracy with lower memory overhead on CIFAR-100 and CUB-200-2011 via regularization to avoid forgetting.
Learning without forgetting
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Autoencoder-Based Incremental Class Learning without Retraining on Old Data
Autoencoder extracts class prototypes whose means enable metric classification in incremental learning, matching SOTA accuracy with lower memory overhead on CIFAR-100 and CUB-200-2011 via regularization to avoid forgetting.