论文笔记OHEM（Online Hard Example Mining）
简介 来自2016年论文《Training Region-based Object Detectors with Online Hard Example Mining》。在线困难样本挖掘OHEM（Online Hard Example Mining）。如字面意思，OHEM加强了对困难样例的检测，提高了mAP。 Bootstrapping算法，指的就是利用有限的样本资料经由多次重复抽样，重新建立
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相关文章
- 1. OHEM(online hard example mining)
- 2. OHEM(Online Hard Example Mining)算法
- 3. OHEM::Online Hard Example Mining--探究
- 4. 论文笔记 OHEM: Training Region-based Object Detectors with Online Hard Example Mining
- 5. 【论文笔记 Detection】OHEM: Training Region-based Object Detectors with Online Hard Example Mining
- 6. 目标检测-OHEM（online hard example mining）
- 7. （OHEM）论文阅读笔记——Training Region-based Object Detectors with Online Hard Example Mining
- 8. 论文笔记：Training Region-based Object Detectors with Online Hard Example Mining
- 9. 论文：Training Region-based Object Detectors with Online Hard Example Mining 阅读笔记
- 10. Training Region-based Object Detectors with Online Hard Example Mining论文讲解