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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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dblp.uni-trier.de pubmed.ncbi.nlm.nih.gov academic.microsoft.com arxiv.org

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Face recognitionNeural networksFeature extractionMagnetic headsTraining dataMore(1+)

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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Yue Wu (吴越)

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Tal Hassner

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