Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images
Max Planck Institute for Informatics · Max Planck Society · +1 more institution
Abstract
We address a question answering task on real-world images that is set up as a Visual Turing Test. By combining latest advances in image representation and natural language processing, we propose Neural-Image-QA, an end-to-end formulation to this problem for which all parts are trained jointly. In contrast to previous efforts, we are facing a multi-modal problem where the language output (answer) is conditioned on visual and natural language input (image and question). Our approach Neural-Image-QA doubles the performance of the previous best approach on this problem. We provide additional insights into the problem by analyzing how much information is contained only in the language part for which we provide a…
Citation impact
- FWCI
- 39.87
- Percentile
- 100%
- References
- 54
Authors
3Topics & keywords
- Computer science
- Question answering
- Artificial intelligence
- Set (abstract data type)
- Task (project management)
- Turing test
- Natural language
- Ask price
- Quality Education