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I have a confusion about use of parameter --qaSets.
In the code documentation, it is mentioned param qa_sets: if None, no action o.w., only takes the answers appearing in these dsets and remove all unlabeled data (MSCOCO captions)
Also, we can select qaSets to be vqa, visual7w, gqa
Can you please elaborate further? More specifically, I am curious what will happen if I omit one of the options, for instance, passing --qaSets vqa,visual7w
will it omit the GQA dataset for VQA pretext task? or my understanding is wrong?
Looking forward to hearing from you soon. Thanks in advance!
The text was updated successfully, but these errors were encountered:
Did you manage to exclude an entire dataset completely? As far as I understand at this point, specifying --qaSets will only affect which answer classes are trained, but not which datasets are used (i.e. it still uses all datasets, just not all samples, namely not those samples that belong to unsupported answer classes).
Hi, Thanks for this great code repo.
I have a confusion about use of parameter --qaSets.
In the code documentation, it is mentioned
param qa_sets: if None, no action o.w., only takes the answers appearing in these dsets and remove all unlabeled data (MSCOCO captions)
Also, we can select qaSets to be vqa, visual7w, gqa
Can you please elaborate further? More specifically, I am curious what will happen if I omit one of the options, for instance, passing
--qaSets vqa,visual7w
will it omit the GQA dataset for VQA pretext task? or my understanding is wrong?
Looking forward to hearing from you soon. Thanks in advance!
The text was updated successfully, but these errors were encountered: