{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/gslicr-slic-superpixels-at-over-250hz","title":"gSLICr: SLIC superpixels at over 250Hz","arxiv_id":"1509.04232","date":"2015-09-14","proceeding":null,"authors":["Carl Yuheng Ren","Victor Adrian Prisacariu","Ian D. Reid"],"abstract":"We introduce a parallel GPU implementation of the Simple Linear Iterative\nClustering (SLIC) superpixel segmentation. Using a single graphic card, our\nimplementation achieves speedups of up to $83\\times$ from the standard\nsequential implementation. Our implementation is fully compatible with the\nstandard sequential implementation and the software is now available online and\nis open source.","url_abs":"http://arxiv.org/abs/1509.04232v1","url_pdf":"http://arxiv.org/pdf/1509.04232v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"gslicr-slic-superpixels-at-over-250hz","repo_url":"https://github.com/carlren/gSLICr","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":null,"task_name":"GPU"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"superpixels","task_name":"Superpixels"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1509.04232","atlas_url":"https://app.syntology.ai/?focus=1509.04232","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}