Summarization of Text and Image Captioning in Information Retrieval Using Deep Learning Techniques-Reference-Cited by-同舟云学术

Summarization of Text and Image Captioning in Information Retrieval Using Deep Learning Techniques

Published:2022 Issue: Volume:10 Page:18289-18297
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mahalakshmi P.,Fatima N. Sabiyath^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09709290.pdf?arnumber=9709290

Reference24 articles.

1. Designing an annotation scheme for summarizing Japanese judgment documents

2. Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

3. Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns;fekri-ershad;Int Arab J Inf Technol,2018

4. Ensembling of text and images using Deep Convolutional Neural Networks for Intelligent Information Retrieval

5. Paying Attention to Descriptions Generated by Image Captioning Models

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