Learning to Segment Every Thing

computer vision and pattern recognition, 2018.

Cited by: 154|Bibtex|Views338|Links
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Abstract:

Most methods for object instance segmentation require all training examples to be labeled with segmentation masks. This requirement makes it expensive to annotate new categories and has restricted instance segmentation models to ~100 well-annotated classes. The goal of this paper is to propose a new partially supervised training paradigm,...More

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