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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
Article Submitted : 15895
Article Published : 7024
Total Authors : 18898
Total Reviewer : 679
Total Countries : 124
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Published Paper Details
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| Paper Title: | Visual Question Answering using Deep Learning |
| Authors Name: | Tanuritha P , Pallavi K S , Sonali M A , Vidhya L , Anjini L |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_183065
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| Published Paper Id: | IJRTI2207135 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | Abstract: This paper introduces the concept of VQA (Visual Question Answering), which uses CNN (Convolutional Neural Network) attention model and innovative LSTM (long short-term memory) and CNN (convolutional neural network) attention models to combine local image features and questions from corresponding specific parts or regions of an image to provide answers to questions posed using a pre-processed image dataset. Here, the word attention can be explained as using techniques which allow the model to only emphasize those elements of the image that are relevant to both the image and the key phrases within the question. The areas of the image that are irrelevant will not be taken into account, improving classification accuracy by lowering the chances of guessing incorrect answers. Use of the Keras Python package with the backend of TensorFlow, followed by the NLTK Python libraries, for the purpose of extracting image features with the help of CNN, the language semantics with the help of NLP, and finally use of the multi- layer perceptron for the purpose of combining the outcome or results from the question and the image. |
| Keywords: | Index Terms— VQA, CNN, RNN, AI, LSTM, Neural Networks, Image Processing |
| Cite Article: | "Visual Question Answering using Deep Learning ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.898 - 901, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207135.pdf |
| Downloads: | 000204882 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2207135
Registration ID:183065
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 898 - 901 Country: Bengaluru , Karnataka , India Research Area: Science Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207135 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207135 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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