Inshop Data - Training Auxiliary Classifier - which categories?

[Vinayak Nayak]

Hello guys!

I was wondering when you trained the model on the InShop dataset, what categories you used for calculating the classification loss?

Were they top-level categories like Blouses_Shirts, Cardigans etc. or were they more granular like id_00000001, id_00000271 etc.

I presume while the former can cohesively get broad categories together in the latent space, the latter can help guide the training to bring the same/similar clothes' embeddings together (as in red polo and blue polo together and so on). But I want to know how was the experiment conducted?

Can someone please help me with this issue?

Thanks & Regards.