Convolutional Oriented Boundaries

ECCV, pp. 580-596, 2016.

Cited by: 93|Bibtex|Views15|Links
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Abstract:

We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neural Networks (CNNs). COB is computationally efficient, because it requires a single CNN forward pass for contour detection and it uses a novel sparse boundary ...More

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