Monikshah

Hi, Thank you for responding. I have not resolved it yet. It would be very helpful if you could help me with this. On Thu, Jul 11, 2019 at 9:34...

Thank you very much for the response. I am very new to this field of research and and I am struggling from around a month to implement this model. So...

Thank you very much. This gives me the answers of so many of my questions. I checked the scripts/prepro_predicates.py. It gives the predicates and the triples from images and sentences....

There are two files used in the scripts/prepro_predicates.py which I could not find to download: 1. '--pred_category', default='data/all_predicates_final.json', help='get all predicates' 2. '--aligned_triplets', default='data/aligned_triplets_final.json', help='get aligned weak supervision' Are these...

I got answer to these.

Sorry to bother you again and thank you for patiently responding :) I am not understanding which part in scripts/prepro_predicates.py does the matching and what variable represents the object pairs...

I have been going through scripts/prepro_predicates.py. I came to understand that all_predicates_final.json contains all the predicates and aligned_triplets_final.json contains the pairs of objects for each predicates. So I understand now...

Great! Thank you very much for all the answers. Hopefully I should be able to implement now.

Hello again, I have been able to implement the bag model. I trained the model. Now while testing we should be able to predict the predicates in the images by...

Thank you very much for responding. I think Karparthy's split for train/dev/test does not have predicate annotation over the whole image. How did you get the ground truth predicates?