The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions

CVPR 2017 Peng WangQi WuChunhua ShenAnton van den Hengel

One of the most intriguing features of the Visual Question Answering (VQA) challenge is the unpredictability of the questions. Extracting the information required to answer them demands a variety of image operations from detection and counting, to segmentation and reconstruction... (read more)

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