VQA Visual Question Answering
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Google Research and Machine Intelligence. Also check out the continuation of WiNLP, Widening NLP.
Since Fall 2016, I am a research assistant in the Machine Learning and Perception lab. At Virginia Tech, advised by Prof. My broad interests lie in computer vision and natural language processing, particularly in high-level vision and multimodal learning tasks. I am interested in developing AI systems that can emulate the remarkable human ability to combine sensory inputs to develop a semantic understanding of the natural world. Music, long-distance running and quizzing.
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VISUALQA.ORG HOST
SERVER OPERATING SYSTEM AND ENCODING
I found that this domain is utilizing the Apache/2.2.22 (Ubuntu) operating system.TITLE
VQA Visual Question AnsweringDESCRIPTION
Introducing VQA v2.0. A More Balanced and Bigger VQA Dataset! VQA is a new dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer. 254,721 images MSCOCO and abstract scenes. 3 questions per image 764,163 total. 10 ground truth answers per question. 3 plausible but likely incorrect answers per question. Open-ended and multiple-choice answering tasks. 9,934,119 total. To our group for updates!CONTENT
This web site states the following, "A More Balanced and Bigger VQA Dataset! VQA is a new dataset containing open-ended questions about images." Our analyzers noticed that the web page also said " These questions require an understanding of vision, language and commonsense knowledge to answer." The Website also said " 254,721 images MSCOCO and abstract scenes. 3 questions per image 764,163 total. 10 ground truth answers per question. 3 plausible but likely incorrect answers per question. Open-ended and multiple-choice answering tasks. To our group for updates!."VIEW SIMILAR WEB SITES
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