{"url":"/method/capsule-network","slug":"capsule-network","name":"Capsule Network","full_name":"Capsule Network","full_name_withheld":false,"description_markdown":"A capsule is an activation vector that basically executes on its inputs some complex internal\r\ncomputations. Length of these activation vectors signifies the\r\nprobability of availability of a feature. Furthermore, the condition\r\nof the recognized element is encoded as the direction in which\r\nthe vector is pointing. In traditional, CNN uses Max pooling for\r\ninvariance activities of neurons, which is nothing except a minor\r\nchange in input and the neurons of output signal will remains\r\nsame.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Dynamic Routing Between Capsules","paper":"/paper/dynamic-routing-between-capsules","first_author":"Sara Sabour","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/dynamic-routing-between-capsules"},"source":{"url":"http://arxiv.org/abs/1710.09829v2","title":"Dynamic Routing Between Capsules","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Neural Architecture Search","url":"/methods/category/neural-architecture-search","pwc_aliases":[]}],"n_papers_tagged":0,"archive_num_papers":180,"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/capsule-network"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}