{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10496896","patent":{"patent_number":"US-10496896","title":"Generating object proposals using deep-learning models","assignee":null,"inventors":[],"filing_date":"2019-03-29T00:00:00.000Z","publication_date":"2019-12-03T00:00:00.000Z","cpc_codes":["G06N","G06F","G06N","G06N","G06N","G06N","G06V","G06V","G06V","G06V"],"num_claims":19,"abstract":"In one embodiment, a plurality of patches of an image are processed using a first-pass of a first deep-learning model to generate object-level information for each of the patches. Each patch includes one or more pixels of the image. Using a second-pass of the first deep-learning model, a respective object proposal is generated for each of the plurality of patches of the image. The second-pass takes as input the first-pass output, and the generated respective object proposals comprise pixel-level information for each of the patches. Using a second deep-learning model, a respective score is computed for each object proposal. The second deep-learning model takes as input the first-pass output, and the object score includes a likelihood that the respective patch of the object proposal contains an entire object."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Generating object proposals using deep-learning models","description":"In one embodiment, a plurality of patches of an image are processed using a first-pass of a first deep-learning model to generate object-level information for each of the patches. Each patch includes ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10496896","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-10496896","citation_suggestion":"Patentable. \"Generating object proposals using deep-learning models\" (US-10496896). https://patentable.app/patents/US-10496896","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10496896","json":"https://patentable.app/api/llm-context/US-10496896","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:14:33.957Z"}