--- title: Meet SparseFormer: A Neural Architecture for Sparse... description: Convolutional neural networks (CNNs) construct features by applying convolutional filters to each unit of pictures or feature maps. A lightweight early... canonical: https://daily.dev/posts/meet-sparseformer-a-neural-architecture-for-sparse-visual-recognition-with-limited-tokens-can9e9cj7 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Meet SparseFormer: A Neural Architecture for Sparse Visual Recognition with Limited Tokens | daily.dev og:description: Convolutional neural networks (CNNs) construct features by applying convolutional filters to each unit of pictures or feature maps. A lightweight early... og:url: https://daily.dev/posts/meet-sparseformer-a-neural-architecture-for-sparse-visual-recognition-with-limited-tokens-can9e9cj7 og:image: https://api.daily.dev/og/posts/cAN9E9Cj7.png og:image:alt: Meet SparseFormer: A Neural Architecture for Sparse Visual Recognition with Limited Tokens og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Meet SparseFormer: A Neural Architecture for Sparse Visual Recognition with Limited Tokens **[Machine Learning News](https://daily.dev/sources/mlnews)** · 4 min read · 3 upvotes · 0 comments ## Summary Convolutional neural networks (CNNs) construct features by applying convolutional filters to each unit of pictures or feature maps. A lightweight early convolution module in the SparseFormer pulls image features from a given picture. It learns to represent a picture via latent transformers and a very small number of tokens. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai](https://daily.dev/tags/ai), [#architecture](https://daily.dev/tags/architecture), [#classification](https://daily.dev/tags/classification), [#computing](https://daily.dev/tags/computing), [#llm](https://daily.dev/tags/llm), [#machine-learning](https://daily.dev/tags/machine-learning), [#tech-news](https://daily.dev/tags/tech-news) [View this post on daily.dev](https://daily.dev/posts/meet-sparseformer-a-neural-architecture-for-sparse-visual-recognition-with-limited-tokens-can9e9cj7) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Meet SparseFormer: A Neural Architecture for Sparse Visual Recognition with Limited Tokens","url":"https://daily.dev/posts/meet-sparseformer-a-neural-architecture-for-sparse-visual-recognition-with-limited-tokens-can9e9cj7","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/meet-sparseformer-a-neural-architecture-for-sparse-visual-recognition-with-limited-tokens-can9e9cj7"},"datePublished":"2023-04-12T17:00:55.709Z","dateModified":"2023-08-12T02:18:53.563Z","description":"Convolutional neural networks (CNNs) construct features by applying convolutional filters to each unit of pictures or feature maps. 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