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As written in the paper, the NAN model is composed of three sub-nets, each one trained with some prediction loss (compared with ground truth labels) and adversarial loss. However I could not find the adversarial losses in the code. Is it not included, or lying somethere that I missed? BTW, thanks for sharing the code.
The text was updated successfully, but these errors were encountered:
As written in the paper, the NAN model is composed of three sub-nets, each one trained with some prediction loss (compared with ground truth labels) and adversarial loss. However I could not find the adversarial losses in the code. Is it not included, or lying somethere that I missed? BTW, thanks for sharing the code.
As written in the paper, the NAN model is composed of three sub-nets, each one trained with some prediction loss (compared with ground truth labels) and adversarial loss. However I could not find the adversarial losses in the code. Is it not included, or lying somethere that I missed? BTW, thanks for sharing the code.
The text was updated successfully, but these errors were encountered: