Comments (3)
Patrickctyyx
commented on June 8, 2024
看 41 行，cam 经过 Sigmoid 处理过
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BrownSweater
commented on June 8, 2024
看 41 行，cam 经过 Sigmoid 处理过
是的，经过Sigmoid处理后已经得到了每一个像素点是否是正样本的概率值。如果输入的图片是负例，即图片中不存在伪装物体。那么输出值cam应该都是低响应值。如果再使用最大最小归一化，会将这些低响应值重新激活。我认为这样不太合理啊，是我还有什么没考虑到吗？
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DengPingFan
commented on June 8, 2024
看 41 行，cam 经过 Sigmoid 处理过
是的，经过Sigmoid处理后已经得到了每一个像素点是否是正样本的概率值。如果输入的图片是负例，即图片中不存在伪装物体。那么输出值cam应该都是低响应值。如果再使用最大最小归一化，会将这些低响应值重新激活。我认为这样不太合理啊，是我还有什么没考虑到吗？
目前训练的时候都用的正样本，你说的问题确实可能存在，我们目前没有加入负样本进行训练，负样本的标注代价是0。目前还么有人做，或者这个是你可以探索的一个新的贡献点。
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