1K+ Recurring Pattern (RP) benchmark

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1papers using it

2022first seen

The '1K+ Recurring Pattern (RP) benchmark' is a dataset used to evaluate the effectiveness of recurring pattern discovery from a single image for tasks such as vanishing point detection, 3D translation symmetry hypothesis, and counting RP instances in a 3D scene.

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Papers using 1K+ Recurring Pattern (RP) benchmark (1)

Novel 3D Scene Understanding Applications From Recurrence In A Single Image2022