{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11301719","patent":{"patent_number":"US-11301719","title":"Semantic segmentation model training methods and apparatuses, electronic devices, and storage media","assignee":null,"inventors":[],"filing_date":"2019-12-25T00:00:00.000Z","publication_date":"2022-04-12T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N","G06V","G06V","G06V","G06V","G06V"],"num_claims":20,"abstract":"A semantic segmentation model training method includes: performing, by a semantic segmentation model, image semantic segmentation on at least one unlabeled image to obtain a preliminary semantic segmentation result as the category of the unlabeled image; obtaining, by a convolutional neural network based on the category of the at least one unlabeled image and the category of at least one labeled image, sub-images respectively corresponding to the at least two images and features corresponding to the sub-images, where the at least two images comprise the at least one unlabeled image and the at least one labeled image, and the at least two sub-images carry the categories of the corresponding images; and training the semantic segmentation model on the basis of the categories of the at least two sub-images and feature distances between the at least two sub-images."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Semantic segmentation model training methods and apparatuses, electronic devices, and storage media","description":"A semantic segmentation model training method includes: performing, by a semantic segmentation model, image semantic segmentation on at least one unlabeled image to obtain a preliminary semantic segme","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11301719","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-11301719","citation_suggestion":"Patentable. \"Semantic segmentation model training methods and apparatuses, electronic devices, and storage media\" (US-11301719). https://patentable.app/patents/US-11301719","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11301719","json":"https://patentable.app/api/llm-context/US-11301719","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:59:01.929Z"}