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您好!我在阅读v4.13和v4.14的代码时,发现RIFEv3_HD.py的Model 类的update函数中,存在loss_cons的损失,但是并没有见到与该损失计算和使用相关的代码。请问一下,(1)该loss是什么含义?(2)如果有想在预训练参数的基础上对模型进行微调,需要关注该loss吗?谢谢您的解答!
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可以在这里找到训练代码,https://github.com/hzwer/Practical-RIFE/blob/main/README.md#model-training 理论可以看论文的蒸馏部分 我觉得可以不管这个 loss,只是个锦上添花和稳定前期训练的 trick
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您好!我在阅读v4.13和v4.14的代码时,发现RIFEv3_HD.py的Model 类的update函数中,存在loss_cons的损失,但是并没有见到与该损失计算和使用相关的代码。请问一下,(1)该loss是什么含义?(2)如果有想在预训练参数的基础上对模型进行微调,需要关注该loss吗?谢谢您的解答!
The text was updated successfully, but these errors were encountered: