{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11977602","patent":{"patent_number":"US-11977602","title":"Domain generalized margin via meta-learning for deep face recognition","assignee":null,"inventors":[],"filing_date":"2021-11-08T00:00:00.000Z","publication_date":"2024-05-07T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N","G06V","G06V"],"num_claims":20,"abstract":"A method for training a model for face recognition is provided. The method forward trains a training batch of samples to form a face recognition model w(t), and calculates sample weights for the batch. The method obtains a training batch gradient with respect to model weights thereof and updates, using the gradient, the model w(t) to a face recognition model what(t). The method forwards a validation batch of samples to the face recognition model what(t). The method obtains a validation batch gradient, and updates, using the validation batch gradient and what(t), a sample-level importance weight of samples in the training batch to obtain an updated sample-level importance weight. The method obtains a training batch upgraded gradient based on the updated sample-level importance weight of the training batch samples, and updates, using the upgraded gradient, the model w(t) to a trained model w(t+1) corresponding to a next iteration."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Domain generalized margin via meta-learning for deep face recognition","description":"A method for training a model for face recognition is provided. The method forward trains a training batch of samples to form a face recognition model w(t), and calculates sample weights for the batch","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11977602","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-11977602","citation_suggestion":"Patentable. \"Domain generalized margin via meta-learning for deep face recognition\" (US-11977602). https://patentable.app/patents/US-11977602","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11977602","json":"https://patentable.app/api/llm-context/US-11977602","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T00:14:26.841Z"}