Could you provide the result on CUB dataset when using the att attribute?

[sailing3658]

Much appreciation for your interest!

We have tested our method on CUB using the attribute semantic descriptor, but the results are not as good (U=52.4, S=60.9, H=56.4) as using the sentence semantic descriptor. You can also replace the sent with the attribute in the codes.
Besides, we find that some other methods, like CADA-VAE[1], cycle-CLSWGAN[2], etc., also use the sentence semantic descriptor for CUB. And our results on CUB can still outperform theirs.

Best wishes!

[1] Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. Edgar Schonfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, and Zeynep Akata. CVPR2019.
[2] Multi-modal Cycle-consistent Generalized Zero-Shot Learning. Rafael Felix, Vijay Kumar B G, Ian Reid, and Gustavo Carneiro. ECCV2018

Originally posted by @Hanzy1996 in #4 (comment)