leedoyup / bottom-up-attention-tf Goto Github PK
View Code? Open in Web Editor NEWUnofficial tensorflow implementation of "Bottom-up and Top-down attention for VQA" (TF v. 1.13)
License: MIT License
Unofficial tensorflow implementation of "Bottom-up and Top-down attention for VQA" (TF v. 1.13)
License: MIT License
Hi.. i am trying to run your code... i have 32 GB of RAM and more than 100GB of disk space. 3 GB of my RAM gets occupied for loading the dictionary and i get stuck there.... do i need a bigger RAM? Like 64GB of RAM space?
hello, i'm learning this code. could you publish a best weights you have trained? thank you very much
Hi
in the attention model where the weights w are applied to the input vector w* concat[imFeatures,QuestionEmbddding]
I can't figure out where the values of w come from or how they are updated?!!! can you help with this problem?
could you help on this matter?
Did you do any normalization on the visual features?
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