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在使用无监督算法的提示框估计除了背景和前景的分布后,在第二阶段的训练过程中,你是否使用了Faster-RCNN网络中的RPN先标记出一部分疑似未知对象,然后使用分布和指定的分数计算规则来确认这个未知对象是个对象而不是背景?如果不是这样的话,我不理解你的未知对象标签是从哪里打入的。
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在第一阶段,我们同时训练了Faster-RCNN和OLN,第二阶段self-training的过程中,我们采用的是OLN来生成候选框来作为未知类别目标的伪标签。
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在使用无监督算法的提示框估计除了背景和前景的分布后,在第二阶段的训练过程中,你是否使用了Faster-RCNN网络中的RPN先标记出一部分疑似未知对象,然后使用分布和指定的分数计算规则来确认这个未知对象是个对象而不是背景?如果不是这样的话,我不理解你的未知对象标签是从哪里打入的。
The text was updated successfully, but these errors were encountered: