Decoupled deep neural network for semi-supervised semantic segmentation
NIPS 2015
Volume: 28, Pages: 1495 - 1503
Published: Dec 7, 2015
Abstract
We propose a novel deep neural network architecture for semi-supervised semantic segmentation using heterogeneous annotations. Contrary to existing approaches posing semantic segmentation as a single task of region-based classification, our algorithm decouples classification and segmentation, and learns a separate network for each task. In this architecture, labels associated with an image are identified by classification network, and binary...
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