{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11983920","patent":{"patent_number":"US-11983920","title":"Unified framework for multigrid neural network architecture","assignee":null,"inventors":[],"filing_date":"2021-12-20T00:00:00.000Z","publication_date":"2024-05-14T00:00:00.000Z","cpc_codes":["G06V","G06N","G06N","G06N","G06V","G06V","G06V"],"num_claims":20,"abstract":"A method including: receiving, as input, an image; providing a neural network structure including a plurality of multilayer multi-scale neural networks, wherein the plurality of multilayer multi-scale neural networks are arranged sequentially, by laterally connecting corresponding scale-level layers between each two adjoining multilayer multi-scale neural networks in the sequence; and at a training stage, training the neural network structure on a training dataset, to obtain a trained machine learning model configured to perform a computer vision task which includes outputting at least one of: (i) a classification of the image into one class of a set of two or more classes, (ii) a segmentation of a least one object in the image, and (iii) a detection of at least one object in the image."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Unified framework for multigrid neural network architecture","description":"A method including: receiving, as input, an image; providing a neural network structure including a plurality of multilayer multi-scale neural networks, wherein the plurality of multilayer multi-scale","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11983920","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11983920","citation_suggestion":"Patentable. \"Unified framework for multigrid neural network architecture\" (US-11983920). https://patentable.app/patents/US-11983920","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11983920","json":"https://patentable.app/api/llm-context/US-11983920","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:56:49.739Z"}