tensorflow-yolo
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Why did you replace the noobject_loss?
Hey, I noticed that you replaced "f.nn.l2_loss(no_I * (p_C - C)) * self.noobject_scale" with "tf.nn.l2_loss(no_I * (p_C)) * self.noobject_scale". But as I know, the paper adopted the former one. Why did you make such a change?
Do you know the reason now? I cannot understand this now.
@LeoCHANGcn Not yet
Because if there is no object in the cell, the C will be replaced by 0. Only when having object, C will be the confidence.