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我比较了u2netp,u2netp-repconv,u2netp-repopt在自训练数据集上的分割精度,miou分别是0,9159,0.9169,0.9170,但是进行ptq-uint8量化后,原生结构的量化损失较小,而repconv和repopt均存在较大的量化损失,repopt量化损失很大正常吗?
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我比较了u2netp,u2netp-repconv,u2netp-repopt在自训练数据集上的分割精度,miou分别是0,9159,0.9169,0.9170,但是进行ptq-uint8量化后,原生结构的量化损失较小,而repconv和repopt均存在较大的量化损失,repopt量化损失很大正常吗?
The text was updated successfully, but these errors were encountered: