{"url":"/method/convmlp","slug":"convmlp","name":"ConvMLP","full_name":"ConvMLP","full_name_withheld":false,"description_markdown":"**ConvMLP** is a hierarchical convolutional MLP for visual recognition, which consists of a stage-wise, co-design of [convolution](https://paperswithcode.com/method/convolution) layers, and MLPs. The Conv Stage consists of $C$ convolutional blocks with $1\\times 1$ and $3\\times 3$ kernel sizes. It is repeated $M$ times before a down convolution is utilized to express a level $L$. The MLP-Conv Stage consists of Channelwise MLPs, with skip layers, and a [depthwise convolution](https://paperswithcode.com/method/depthwise-convolution). This is repeated $M$ times before a down convolution is utilized to express a level $\\mathcal{L}$.","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":"https://arxiv.org/abs/2109.04454v2","title":"ConvMLP: Hierarchical Convolutional MLPs for Vision","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Convolutional Neural Networks","url":"/methods/category/convolutional-neural-networks","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/convmlp-hierarchical-convolutional-mlps-for","title":"ConvMLP: Hierarchical Convolutional MLPs for Vision","date":"2021-09-09","arxiv_id":"2109.04454","n_code_links":4,"syntology":{"ran":0,"of":3,"unverified":3,"pointer_only":0}}],"papers_shown":1,"tasks":[{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/instance-segmentation","name":"Instance Segmentation","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":1},{"task":"/task/object-detection-1","name":"object-detection","papers":1}],"tasks_shown":5,"n_tasks":5,"usage_by_year":[{"year":"2021","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/convmlp"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}