{"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/efficient-semantic-image-segmentation-with","title":"Efficient semantic image segmentation with superpixel pooling","arxiv_id":"1806.02705","date":"2018-06-07","proceeding":null,"authors":["Mathijs Schuurmans","Maxim Berman","Matthew B. Blaschko"],"abstract":"In this work, we evaluate the use of superpixel pooling layers in deep\nnetwork architectures for semantic segmentation. Superpixel pooling is a\nflexible and efficient replacement for other pooling strategies that\nincorporates spatial prior information. We propose a simple and efficient\nGPU-implementation of the layer and explore several designs for the integration\nof the layer into existing network architectures. We provide experimental\nresults on the IBSR and Cityscapes dataset, demonstrating that superpixel\npooling can be leveraged to consistently increase network accuracy with minimal\ncomputational overhead. Source code is available at\nhttps://github.com/bermanmaxim/superpixPool","url_abs":"http://arxiv.org/abs/1806.02705v1","url_pdf":"http://arxiv.org/pdf/1806.02705v1.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":"efficient-semantic-image-segmentation-with","repo_url":"https://github.com/bermanmaxim/superpixPool","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":null,"task_name":"GPU"},{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1806.02705","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}