{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11995883","patent":{"patent_number":"US-11995883","title":"Scene graph generation for unlabeled data","assignee":null,"inventors":[],"filing_date":"2023-02-02T00:00:00.000Z","publication_date":"2024-05-28T00:00:00.000Z","cpc_codes":["G06V","G06F","G06F","G06F","G06V","G06V","G06V","G06V","G06V"],"num_claims":20,"abstract":"Approaches are presented for training and using scene graph generators for transfer learning. A scene graph generation technique can decompose a domain gap into individual types of discrepancies, such as may relate to appearance, label, and prediction discrepancies. These discrepancies can be reduced, at least in part, by aligning the corresponding latent and output distributions using one or more gradient reversal layers (GRLs). Label discrepancies can be addressed using self-pseudo-statistics collected from target data. Pseudo statistic-based self-learning and adversarial techniques can be used to manage these discrepancies without the need for costly supervision from a real-world dataset."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Scene graph generation for unlabeled data","description":"Approaches are presented for training and using scene graph generators for transfer learning. A scene graph generation technique can decompose a domain gap into individual types of discrepancies, such","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11995883","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-11995883","citation_suggestion":"Patentable. \"Scene graph generation for unlabeled data\" (US-11995883). https://patentable.app/patents/US-11995883","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11995883","json":"https://patentable.app/api/llm-context/US-11995883","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T04:01:25.530Z"}