A Novel Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network

A Novel Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network

Visual Question Answering (VQA) is a stimulating process in the field of Natural Language Processing (NLP) and Computer Vision (CV). In this process machine can find an answer to a natural language question which is related to an image. Question can be open-ended or multiple choice. Datasets of VQA c...

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Bibliographic Details
Main Authors: Sudan Jha, Anirban Dey, Raghvendra Kumar, Vijender Kumar-Solanki
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2019-06-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Computer vision
Long Short Time Memory
Natural Language Processing
Neural Network
Stochastic Gradient Descent.
Online Access:http://www.ijimai.org/journal/node/2589

Internet

http://www.ijimai.org/journal/node/2589

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