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if all the training samples are equally treated, there will be a misalignment between the two heads: the location with the highest category score is usually not the best position for regressing the object boundary.
The text was updated successfully, but these errors were encountered:
if all the training samples are equally treated, there will be a misalignment between the two heads: the location with the highest category score is usually not the best position for regressing the object boundary.
The text was updated successfully, but these errors were encountered: