Example of using VLFeat's SLIC implementation from C++.

Real-time Superpixel Segmentation by DBSCAN Clustering Algorithm (TIP16)

Task at UIIP NASB

Invariant Superpixel Features for Object Detection

Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.

Implementation of the superpixel algorithm called SEEDS [1].

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.

Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].

Learning Superpixels with Segmentation-Aware Affinity Loss

Superpixels made of quadrilaterals

Superpixel and Supervoxel computing

Implementation of simplified version of SLIC Superpixels algorithm

20x Real-time superpixel SLIC Implementation with CPU

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation

Superpixels segmentation algorithms with QT and OpenCV, with a nice GUI to colorize the cells

Image segmentation method for the generation of superpixels called waterpixels which follow an image contours.

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

Codes to compute Turbopixels/Turbovoxels and other related tools