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The race among computer scientists to build the world’s most accurate computer vision system is more of a marathon than a sprint.
The race’s new leader is a team of Microsoft researchers in Beijing, which this week published a paper in which they noted their computer vision system based on deep convolutional neural networks (CNNs) had for the first time eclipsed the abilities of people to classify objects defined in the ImageNet 1000 challenge.
