{"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/small-sample-learning-of-superpixel","title":"Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version","arxiv_id":"1406.1774","date":"2014-06-06","proceeding":null,"authors":["Toufiq Parag","Stephen Plaza","Louis Scheffer"],"abstract":"Pixel and superpixel classifiers have become essential tools for EM\nsegmentation algorithms. Training these classifiers remains a major bottleneck\nprimarily due to the requirement of completely annotating the dataset which is\ntedious, error-prone and costly. In this paper, we propose an interactive\nlearning scheme for the superpixel classifier for EM segmentation. Our\nalgorithm is \"active semi-supervised\" because it requests the labels of a small\nnumber of examples from user and applies label propagation technique to\ngenerate these queries. Using only a small set ($<20\\%$) of all datapoints, the\nproposed algorithm consistently generates a classifier almost as accurate as\nthat estimated from a complete groundtruth. We provide segmentation results on\nmultiple datasets to show the strength of these classifiers.","url_abs":"http://arxiv.org/abs/1406.1774v2","url_pdf":"http://arxiv.org/pdf/1406.1774v2.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":"small-sample-learning-of-superpixel","repo_url":"https://github.com/janelia-flyem/NeuroProof","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}