{"url":"/method/rms-pooling","slug":"rms-pooling","name":"RMS Pooling","full_name":"Root-of-Mean-Squared Pooling","full_name_withheld":false,"description_markdown":"**RMS Pooling** is a pooling operation that calculates the square mean root for patches of a feature map, and uses it to create a downsampled (pooled) feature map.  It is usually used after a convolutional layer.\r\n\r\n$$ z_{j} = \\sqrt{\\frac{1}{M}\\sum^{M}_{i=1}u{ij}^{2}} $$","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":null,"title":null,"url_on_a_paper_host":false},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Pooling Operations","url":"/methods/category/pooling-operations","pwc_aliases":["pooling-operation"]}],"n_papers_tagged":0,"archive_num_papers":0,"papers_newest_first":[],"papers_shown":0,"tasks":[],"tasks_shown":0,"n_tasks":0,"usage_by_year":[],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/rms-pooling"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}