Learning Instance Segmentation by Interaction
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 2123-2126, 2018.
Through such self-supervised interaction, we show that it is possible to learn to segment novel objects kept on textured backgrounds into individual instances
Objects are a fundamental component of visual perception. How are humans able to effortlessly reorganize their visual observations into a discrete set of objects is a question that has puzzled researchers for centuries. The Gestalt school of thought put forth the proposition that humans use similarity in color, texture and motion to group...More
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