Learning Hierarchical Features for Scene Labeling
Volume: 35, Issue: 8, Pages: 1915 - 1929
Published: Aug 1, 2013
Abstract
Scene labeling consists of labeling each pixel in an image with the category of the object it belongs to. We propose a method that uses a multiscale convolutional network trained from raw pixels to extract dense feature vectors that encode regions of multiple sizes centered on each pixel. The method alleviates the need for engineered features, and produces a powerful representation that captures texture, shape, and contextual information. We...
Paper Details
Title
Learning Hierarchical Features for Scene Labeling
Published Date
Aug 1, 2013
Volume
35
Issue
8
Pages
1915 - 1929
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