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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Visual Question Answering using Graph Neural Networks |
| Authors Name: | Piyush Pushkar , Aryan , Ujjwal Kumar , Arjun Kumar Singh , Surabhi Narayan |
| Download E-Certificate: | Download |
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IJNRD_192830
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| Published Paper Id: | IJNRD2304632 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Answering visual questions is a task that has received much attention from two major communities: Computer Vision and Natural Language Processing. Recently, it has been widely accepted as a complete AI function. Wouldn't it be great if machines could understand the content of the pictures and communicate this understanding effectively as human beings? Such technology can be very powerful, either to help a visually impaired person navigate the world of visual acuity, to assist an analyst in extracting relevant information from observation education, to teach a child to play a game on touch screen, to provide viewer information to an art gallery, or to share a robot. This can help elementary school students learn with very little help from their parents or teachers such as recognizing shapes, colors, letters etc. With the advent of computer technology and natural language processing, we are closer to achieving this dream than ever before. Although the main purpose of the project is to model where the computer is required to provide the correct answer to the native language question asked about the input image. The purpose of this program is to assist primary school students with minimal help from others and visually impaired students. |
| Keywords: | VQA, Scene Graphs, YOLO, Graph Convolutions, GloVe Embeddings |
| Cite Article: | "Visual Question Answering using Graph Neural Networks", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.g265-g276, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304632.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2304632 Registration ID: 192830 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: g265-g276 Country: Bengaluru, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304632 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304632 |
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