Exploring Models and Data for Image Question Answering

Annual Conference on Neural Information Processing Systems, 2015.

Cited by: 590|Bibtex|Views192
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Other Links: academic.microsoft.com|dblp.uni-trier.de|dl.acm.org|arxiv.org

Abstract:

This work aims to address the problem of image-based question-answering (QA) with new models and datasets. In our work, we propose to use neural networks and visual semantic embeddings, without intermediate stages such as object detection and image segmentation, to predict answers to simple questions about images. Our model performs 1.8 t...More

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