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Unsupervised Image Segmentation via DIC by Unaixa Khan is a document available to read on EtoBox.

What is Unsupervised Image Segmentation via DIC about?

This document proposes an unsupervised deep image clustering (DIC) method for image segmentation. It consists of two parts: 1) a feature transformation subnetwork that extracts features from the image using a CNN architecture, and 2) a deep clustering subnetwork that iteratively clusters the features into segments. The method is tested on the Berkeley Segmentation Dataset and achieves state-of-the-art performance according to multiple evaluation metrics, outperforming methods like K-means, mean-shift, and n

Author

Unaixa Khan

Language

EN