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It is confusing me that categorical attention with exact evidence sets inference_network_type not Nan.
In my option, categorical attention with exact evidence(Marginal Likelihood) is as follow:
the inference network produces the parameter of q(z) of variational attention.
The text was updated successfully, but these errors were encountered:
Yeah, it was just a placeholder, q is actually not being used in that mode.
Thank you very much. I am working on a similar task as your paper and need to compare our performance with your method. But you do not apply any of the commonly-utilized techniques to improve performance on VQA like "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering". I need some details of the experiences about VQA.
Could I get the code of VQA for this paper? Can I add your WeChat?
It is confusing me that categorical attention with exact evidence sets inference_network_type not Nan.
In my option, categorical attention with exact evidence(Marginal Likelihood) is as follow:
the inference network produces the parameter of q(z) of variational attention.
The text was updated successfully, but these errors were encountered: