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How Low Can We Go? Pixel Annotation for Semantic Segmentation. (arXiv:2201.10448v1 [cs.CV])
Web: http://arxiv.org/abs/2201.10448
Jan. 26, 2022, 2:10 a.m. | Daniel Kigli, Ariel Shamir, Shai Avidan
cs.CV updates on arXiv.org arxiv.org
How many labeled pixels are needed to segment an image, without any prior
knowledge? We conduct an experiment to answer this question.
In our experiment, an Oracle is using Active Learning to train a network from
scratch. The Oracle has access to the entire label map of the image, but the
goal is to reveal as little pixel labels to the network as possible. We find
that, on average, the Oracle needs to reveal (i.e., annotate) less than $0.1\%$
of …
More from arxiv.org / cs.CV updates on arXiv.org
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