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Nov, 2022
FeTrIL: 无模板增量学习特征翻译
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
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Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide
TL;DR
介绍一种将固定特征提取器和伪特征生成器相结合的方法,以改善稳定性和可塑性之间的平衡,并在三个具有挑战性的数据集上表现出优异的性能。
Abstract
exemplar-free class-incremental learning
is very challenging due to the negative effect of
catastrophic forgetting
. A balance between stability and plasticity of the incremental process is needed in order to obta
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