Comments (2)
@QiqLiang 您好,问题1 描述的流程是对的;问题2 预训练模型设为模型A,教师模型设为模型B。
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@QiqLiang 您好,问题1 描述的流程是对的;问题2 预训练模型设为模型A,教师模型设为模型B。
谢谢!我还有以下两个问题:
- 训练学生模型和教师模型的侧重点有什么不同呢?或者换句话说,建议训练时使用相同的数据集还是学生模型使用更针对性的数据集呢?
- 在实际使用yolov6n的时候存在比较多的背景误报为目标或者目标分类错误,除了可以从训练集入手或者增大模型外,有没有什么训练tricks可以尝试一下呢?
非常感谢!
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