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soho's Issues

Where I can find the VD?

In the paper, there is a Visual Dictionary(VD) to remodel the image of query, but the class of SOHO_direct_VD(SOHO/models/necks/utils.py) only operate the image by torch.agrmax in the code, which is not matched with what you described in paper. Please tell me where I can find the VD which is the same as described in the paper. Thank you.

cannot reproduce the performance of visual Entailment dataset.

Hi;
I conduct the pretraining with resent18+3 layer transformer by using indomain data. (without MVM loss)

I can get a similar result on VQA downstream tasks, around 66.5 accuracy.
But the performance on visual entailments is relatively lower than reported in the paper, I can just get 74 accuracy (~82% reported in paper)
I am wondering why the resnet18+3 layer outperforms the Uniter Base?
Are there any training strategies specialized for this downstream task?

Thanks

how to evaluate image/text retrieval on soho?

Hi,
many thanks for your sharing SOHO.
In Readme.MD, i can only find how to pretrain and train a VQA model. However, there is no instruction to train or evaluate an image/text retrieval model. Could you release the retrieval codebase?

new tool

hi, would you release a tool for visualizing the visual dictionary

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