  This paper provides the system description of "Silo NLP's" submission to the
Workshop on Asian Translation (WAT2022). We have participated in the Indic
Multimodal tasks (English->Hindi, English->Malayalam, and English->Bengali
Multimodal Translation). For text-only translation, we trained Transformers
from scratch and fine-tuned mBART-50 models. For multimodal translation, we
used the same mBART architecture and extracted object tags from the images to
use as visual features concatenated with the text sequence.
  Our submission tops many tasks including English->Hindi multimodal
translation (evaluation test), English->Malayalam text-only and multimodal
translation (evaluation test), English->Bengali multimodal translation
(challenge test), and English->Bengali text-only translation (evaluation test).
