Title
A text-based visual context modulation neural model for multimodal machine translation.
Abstract
•A new approach to utilize image data conditioning on textual data on multimodal machine translation.•A modular neural network based layer to modulate image context with low training cost and maintaining resolution.•Evaluate our model using BLEU and METEOR metrics.•Verify whether our model is effective by ablation studies.
Year
DOI
Venue
2020
10.1016/j.patrec.2020.06.010
Pattern Recognition Letters
Keywords
DocType
Volume
41A05,41A10,65D05,65D17
Journal
136
ISSN
Citations 
PageRank 
0167-8655
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Soonmo Kwon100.34
Byung-Hyun Go200.34
Jong-Hyeok Lee374097.88