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I noticed in the paper each Prediction Convolution is formulated with output channels = n_boxes * (n_classes + 4), but in the code you have separated each level into separate convolutions.
I noticed in the paper each Prediction Convolution is formulated with output channels = n_boxes * (n_classes + 4), but in the code you have separated each level into separate convolutions.
But, I believe if it were implemented as in the paper, it should be:
Did you try it the original way, or was this an intentional choice for some reason?
Thank you!
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