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Facial Landmark Detection with Tweaked Convolutional Neural Networks.

IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 12 (2018): 3067-3074

Cited: 100|Views103
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Abstract

This paper concerns the problem of facial landmark detection. We provide a unique new analysis of the features produced at intermediate layers of a convolutional neural network (CNN) trained to regress facial landmark coordinates. This analysis shows that while being processed by the CNN, face images can be partitioned in an unsupervised ...More

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