One-Shot Segmentation in Clutter

Authors: Claudio Michaelis, Matthias Bethge, Alexander Ecker

Abstract

We tackle the problem of one-shot segmentation: finding and segmenting a previously unseen object in a cluttered scene based on a single instruction example. We propose a novel dataset, which we call

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