Deep Extreme Cut: From Extreme Points to Object Segmentation

CVPR, 2018.

Cited by: 107|Bibtex|Views37|Links
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Abstract:

This paper explores the use of extreme points in an object (left-most, right-most, top, bottom pixels) as input to obtain precise object segmentation for images and videos. We do so by adding an extra channel to the image in the input of a convolutional neural network (CNN), which contains a Gaussian centered in each of the extreme points...More

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