Self-Tuning Semantic Image Segmentation
نویسندگان
چکیده
In this paper we present a method for finding optimal parameters of graph Laplacian-based semantic segmentation. This method is fully unsupervised and provides parameters individually for each image. In the experiments on Graz dataset the accuracy of segmentation obtained with the parameters provided by our method is very close to the accuracy of segmentation obtained with the parameters chosen on the test set.
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