Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans.

IEEE Signal Processing Magazine(2018)

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摘要
Recent developments in deep convolutional neural networks (DCNNs) have shown impressive performance improvements on various object detection/recognition problems. This has been made possible due to the availability of large annotated data and a better understanding of the nonlinear mapping between images and class labels, as well as the affordability of powerful graphics processing units (GPUs). T...
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关键词
Detectors,Machine learning,Face recognition,Feature extraction,Videos,Neural networks,Pose estimation,Biometrics,Graphics processing
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