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Original paper

Deep Snake for Real-Time Instance Segmentation

Published: Jun 1, 2020
Abstract
This paper introduces a novel contour-based approach named deep snake for real-time instance segmentation. Unlike some recent methods that directly regress the coordinates of the object boundary points from an image, deep snake uses a neural network to iteratively deform an initial contour to match the object boundary, which implements the classic idea of snake algorithms with a learning-based approach. For structured feature learning on the...
Paper Details
Title
Deep Snake for Real-Time Instance Segmentation
Published Date
Jun 1, 2020
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