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gSLICr: SLIC superpixels at over 250Hz

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arxiv 1509.04232 v1 pith:RUGMOXHT submitted 2015-09-14 cs.CV

Carl Yuheng Ren , Victor Adrian Prisacariu , Ian D Reid This is my paper · ORCID
classification cs.CV
keywords implementationsequentialslicstandardachievesavailablecardclustering
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

We introduce a parallel GPU implementation of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Using a single graphic card, our implementation achieves speedups of up to $83\times$ from the standard sequential implementation. Our implementation is fully compatible with the standard sequential implementation and the software is now available online and is open source.

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  1. Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features

    cs.CV 2019-08 conditional novelty 6.0 of 10

    A capsule network operating on superpixel-pooled VGG-16 features can classify images with about 89% accuracy on a small four-class dataset and provides part-whole explanations without segmentation labels.

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