Incremental Learning Using Conditional Adversarial Networks

ICCV 2019 Ye Xiang Ying Fu Pan Ji Hua Huang

Incremental learning using Deep Neural Networks (DNNs) suffers from catastrophic forgetting. Existing methods mitigate it by either storing old image examples or only updating a few fully connected layers of DNNs, which, however, requires large memory footprints or hurts the plasticity of models... (read more)

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