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In your paper you say "p_data denotes a sentence embedding (generated by a pre-trained char-RNN text encoder [34])."
Can you clarify what model do you use to create coco text embeddings?
I can not find here appropriate pre-trained model to generate 1024-d coco embeddings.
The text was updated successfully, but these errors were encountered:
vlad3996
changed the title
Where to find pre-trained char-RNN text encoder model from paper
Where to find pre-trained char-RNN text encoder model listed in paper
Sep 1, 2018
In your paper you say "p_data denotes a sentence embedding (generated by a pre-trained char-RNN text encoder [34])."
Can you clarify what model do you use to create coco text embeddings?
I can not find here appropriate pre-trained model to generate 1024-d coco embeddings.
The text was updated successfully, but these errors were encountered: