During my training process, the loss rapidly decline to 0,so do the output heatmaps.but they are quite diffrent to the target heatmap(ground truth).I wonder how could this be happening. i checked the Loss function,and switched to a simpler model but nothing changed.

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Just as the picture shows.
The prediction is a NCW*H tensor ,comparing with the heatmap transformed form the dataset original bounding box’s center points.
the Channels correspoding to the object classes(areoplanes,blablabla)
the targetmap with object in it looks brighter because i set the min value 0.1
i wish the model stop outputing all zeros.Dont care about this trick, it makes no difference.