Can I read Convolutional Neural Networks-Based VQA Model on EtoBox?

Convolutional Neural Networks-Based VQA Model by Himanshu Sharma; Anand Singh Jalal is a book available to read on EtoBox.

What is Convolutional Neural Networks-Based VQA Model about?

In visual question answering (VQA) task, we generally use a convolutional neural network (CNN) to extract image features, a recurrent neural network (RNN) for question representation. Instead of using a RNN for language representation, we use a CNN for question representation. The advantage of using a CNN for question representation is that CNN is more effective in capturing image and question words interactions which are not expressed by a RNN. Thus, in this paper, we have used three CNNs for VQA task. One CNN extracts visual features, second CNN for extracting question features, and third CNN for combining both extracted feature vectors. Further, we have employed a softmax layer to generate answer for a given question. The proposed VQA model is evaluated on DAQUAR, COCO-QA, and VQA2.0 datasets.

Author

Himanshu Sharma; Anand Singh Jalal

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2022

Language

EN

ISBN

9789811901041

Subjects

Engineering, Science, Computer Science