Linguistically-aware attention for reducing the semantic gap in vision-language tasks-Reference-Cited by-同舟云学术

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Linguistically-aware attention for reducing the semantic gap in vision-language tasks

Published:2021-04 Issue: Volume:112 Page:107812
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

KV Gouthaman,Nambiar Athira^ORCID,Srinivas Kancheti Sai,Mittal Anurag

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. VQA: Visual question answering;Antol,2015

2. Deep visual-semantic alignments for generating image descriptions;Karpathy,2015

3. Interpretable counting for visual question answering;Trott,2018

4. TallyQA: answering complex counting questions;Acharya,2019

5. Learning to count objects in natural images for visual question answering;Zhang,2018

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