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Disentangled Layer1 中使用了一个GRL层和判别器来训练DSR,但是据我了解对抗训练的方法可以用于得到域不变的特征,为什么这边可以用来得到domain-specific的特征呢
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你好,理想情况下,GRL可以将源域和目标域特征进行对齐,但对齐后的特征仍然会带有对齐域的特性,这里,解耦主要是为了缓解对齐域对检测的影响。
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@AmingWu 所以这里GRL层的作用在于将Source 和 target 在特征层面对齐,那么对齐后的特征为什么称之为Domain specific的特征呢?
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Disentangled Layer1 中使用了一个GRL层和判别器来训练DSR,但是据我了解对抗训练的方法可以用于得到域不变的特征,为什么这边可以用来得到domain-specific的特征呢
The text was updated successfully, but these errors were encountered: