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Daniel Merget

1 accepted papers

2018

Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network

CVPR 2018poster

While fully-convolutional neural networks are very strong at modeling local features, they fail to aggregate global context due to their constrained receptive field. Modern methods typically address the lack of global context by introducing cascades, pooling, or by fitting a statistical model. In th…

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