Training Region-based Object Detectors with Online Hard Example Mining

时间 2020-12-30

标签 OHEM hard example mining 繁體版

原文原文链接

DOI: CVPR 2016 Key Qustion the training set is distinguished by a large imbalance between the number of annotated objects and the number of background examples Contribution Make training more effectiv

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1. OHEM：Training Region-based Object Detectors with Online Hard Example Mining
2. 论文笔记 OHEM: Training Region-based Object Detectors with Online Hard Example Mining
3. 论文笔记：Training Region-based Object Detectors with Online Hard Example Mining
4. 论文：Training Region-based Object Detectors with Online Hard Example Mining 阅读笔记
5. 【论文笔记 Detection】OHEM: Training Region-based Object Detectors with Online Hard Example Mining
6. Training Region-based Object Detectors with Online Hard Example Mining论文讲解
7. OHEM(online hard example mining)
8. （OHEM）论文阅读笔记——Training Region-based Object Detectors with Online Hard Example Mining
9. OHEM::Online Hard Example Mining--探究
10. 论文笔记OHEM（Online Hard Example Mining）
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1. OHEM：Training Region-based Object Detectors with Online Hard Example Mining
2. 论文笔记 OHEM: Training Region-based Object Detectors with Online Hard Example Mining
3. 论文笔记：Training Region-based Object Detectors with Online Hard Example Mining
4. 论文：Training Region-based Object Detectors with Online Hard Example Mining 阅读笔记
5. 【论文笔记 Detection】OHEM: Training Region-based Object Detectors with Online Hard Example Mining
6. Training Region-based Object Detectors with Online Hard Example Mining论文讲解
7. OHEM(online hard example mining)
8. （OHEM）论文阅读笔记——Training Region-based Object Detectors with Online Hard Example Mining
9. OHEM::Online Hard Example Mining--探究
10. 论文笔记OHEM（Online Hard Example Mining）

>>更多相关文章<<