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召回问题补充
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沙韬伟 committed Aug 4, 2020
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- 第二步:用cls预测neg,得到预测prob>0.5的所有neg对应的feature和prob;
- 第三步:把第二步得到的feature喂给cls,重新train;
- 第四步:把第二步和第三步迭代几次;
- 《Training Region-based Object Detectors with Online Hard Example Mining提出,用loss找出hard example,bp的时候只回传这些hard example的weight更新
- 《Training Region-based Object Detectors with Online Hard Example Mining》提出,用loss找出hard example,bp的时候只回传这些hard example的weight更新

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