Single Network Panoptic Segmentation for Street Scene Understanding

7 Feb 2019Daan de GeusPanagiotis MeletisGijs Dubbelman

In this work, we propose a single deep neural network for panoptic segmentation, for which the goal is to provide each individual pixel of an input image with a class label, as in semantic segmentation, as well as a unique identifier for specific objects in an image, following instance segmentation. Our network makes joint semantic and instance segmentation predictions and combines these to form an output in the panoptic format... (read more)

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