{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11941084","patent":{"patent_number":"US-11941084","title":"Self-supervised learning for anomaly detection and localization","assignee":null,"inventors":[],"filing_date":"2021-11-11T00:00:00.000Z","publication_date":"2024-03-26T00:00:00.000Z","cpc_codes":["G06F","G06V","G06N","G06V","G06V"],"num_claims":20,"abstract":"A method for training a machine learning model includes obtaining a set of training samples. For each training sample in the set of training samples, during each of one or more training iterations, the method includes cropping the training sample to generate a first cropped image, cropping the training sample to generate a second cropped image that is different than the first cropped image, and duplicating a first portion of the second cropped image. The method also includes overlaying the duplicated first portion of the second cropped image on a second portion of the second cropped image to form an augmented second cropped image. The first portion is different than the second portion. The method also includes training the machine learning model with the first cropped image and the augmented second cropped image."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Self-supervised learning for anomaly detection and localization","description":"A method for training a machine learning model includes obtaining a set of training samples. For each training sample in the set of training samples, during each of one or more training iterations, th","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11941084","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-11941084","citation_suggestion":"Patentable. \"Self-supervised learning for anomaly detection and localization\" (US-11941084). https://patentable.app/patents/US-11941084","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11941084","json":"https://patentable.app/api/llm-context/US-11941084","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:14:16.186Z"}