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Simple Baseline for Visual Question Answering
December 07, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus
arXiv ID
1512.02167
Category
cs.CV: Computer Vision
Cross-listed
cs.CL
Citations
334
Venue
arXiv.org
Last Checked
3 months ago
Abstract
We describe a very simple bag-of-words baseline for visual question answering. This baseline concatenates the word features from the question and CNN features from the image to predict the answer. When evaluated on the challenging VQA dataset [2], it shows comparable performance to many recent approaches using recurrent neural networks. To explore the strength and weakness of the trained model, we also provide an interactive web demo and open-source code. .
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