《Incremental Classifier Learning with Generative Adversarial Networks》 阅读笔记
原文链接： Incremental Classifier Learning with Generative Adversarial Networks 本文主要是解决增量学习中灾难性遗忘的问题，文中指出灾难性遗忘主要是因为过去的数据在训练时得不到。通常的方法是先保留一部分过去类别的样本，然后配合蒸馏正则化来平衡新旧类别之间的关系。但是这些方法主要有四个问题： 1）Loss 函数的设计对分类器来说都不
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相关文章
- 1. 【阅读笔记】Generative Adversarial Nets
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- 9. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
- 10. [解读] Coupled Generative Adversarial Networks