Web: http://arxiv.org/abs/2205.06218

May 13, 2022, 1:11 a.m. | Kenny T. R. Voo, Liming Jiang, Chen Change Loy

cs.LG updates on arXiv.org arxiv.org

This paper performs comprehensive analysis on datasets for occlusion-aware
face segmentation, a task that is crucial for many downstream applications. The
collection and annotation of such datasets are time-consuming and
labor-intensive. Although some efforts have been made in synthetic data
generation, the naturalistic aspect of data remains less explored. In our
study, we propose two occlusion generation techniques, Naturalistic Occlusion
Generation (NatOcc), for producing high-quality naturalistic synthetic occluded
faces; and Random Occlusion Generation (RandOcc), a more general synthetic
occluded data …

arxiv cv datasets segmentation

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