Incremental Learning of Object Detectors without Catastrophic Forgetting详解

时间 2020-12-24

标签深度学习目标检测增量学习繁體版

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Incremental Learning of Object Detectors without Catastrophic Forgetting详解最近由于项目的需要在研究incremental learning在目标检测方面的应用，刚好读到了INRIA在2007年的一篇paper，采用蒸馏loss的方法来做incremental learning的，所以写这篇博客记录下来。概述不懂什么叫i

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1. Incremental Learning of Object Detectors without Catastrophic Forgetting 论文阅读
2. Learning without Forgetting 翻译
3. Dynamic Few-Shot Visual Learning without Forgetting
4. 增量学习(Incremental Learning)小综述
5. DSOD: Learning Deeply Supervised Object Detectors from Scratch
6. Reading Note: DSOD: Learning Deeply Supervised Object Detectors from Scratch
7. Assisted Excitation of Activations:A Learning Technique to Improve Object Detectors论文解读
8. DSOD： Learning Deeply Supervised Object Detectors from Scratch
9. DSOD： Learning Deeply Supervised Object Detectors from Scratch 论文解读
10. 论文阅读笔记《Dynamic Few-Shot Visual Learning without Forgetting》
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1. Incremental Learning of Object Detectors without Catastrophic Forgetting 论文阅读
2. Learning without Forgetting 翻译
3. Dynamic Few-Shot Visual Learning without Forgetting
4. 增量学习(Incremental Learning)小综述
5. DSOD: Learning Deeply Supervised Object Detectors from Scratch
6. Reading Note: DSOD: Learning Deeply Supervised Object Detectors from Scratch
7. Assisted Excitation of Activations:A Learning Technique to Improve Object Detectors论文解读
8. DSOD： Learning Deeply Supervised Object Detectors from Scratch
9. DSOD： Learning Deeply Supervised Object Detectors from Scratch 论文解读
10. 论文阅读笔记《Dynamic Few-Shot Visual Learning without Forgetting》

>>更多相关文章<<