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Superpixel Benchmark ⭐ 372

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

Superpixels Revisited ⭐ 200

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

Seeds Revised ⭐ 40

Implementation of the superpixel algorithm called SEEDS [1].

Python implementation of the SNIC superpixels algorithm

Superpixels Segmentation ⭐ 13

Research internship - Image segmentation by superpixels based on PyTorch

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