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Hzzone / MTLFace

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework (CVPR 2021 oral & TPAMI 2022)
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Evaluation on AIFR #5

Closed XinruiYuan closed 2 years ago

XinruiYuan commented 2 years ago

Thank you for your contribution.

I have a question about the evaluation on AIFR. You used a id-classification task fulfilling id-label prediction and calculating CE loss between id-pred-classification and id-gt on SCAF, while evaluated on AgeDB.

I was wondering how can you evaluate on AgeDB30 since the id-gts are not given and obviously differ from SCAF, then how can you calculate the verification accuracy? Did you also train a verification module or just calculate similarity between "embedding" obtained by backbone of two inputs given by AgeDB30?

Looking forward to your reply.

Thanks

Hzzone commented 2 years ago

Using the embedding following the traditional face recognition.