Visual Question Answering From Theory to Application
Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language p...
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2022, 2022
|
| Edition: | 1st ed. 2022 |
| Series: | Advances in Computer Vision and Pattern Recognition
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction
- 2. Deep Learning Basics
- 3. Question Answering (QA) Basics
- 4. The Classical Visual Question Answering
- 5. Knowledge-based VQA.