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RODec中无监督训练是矩阵2范数还是F范数呢

祝贺大佬喜提TPAMI,研一小白前来学习。
在您的论文中,无监督的RODec训练是利用矩阵的二范数。
但是在RODec_model.py中:
if self.mode == 'unsupervised':
RODec_loss = tf.reduce_mean(tf.square(output_batch[2]))
这好像是约束了矩阵的F范数。
谢谢您的指点。

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