{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9633282","patent":{"patent_number":"US-9633282","title":"Cross-trained convolutional neural networks using multimodal images","assignee":null,"inventors":[],"filing_date":"2015-07-30T00:00:00.000Z","publication_date":"2017-04-25T00:00:00.000Z","cpc_codes":["G06V","G06F","G06V","G06V","G06V"],"num_claims":27,"abstract":"Embodiments of a computer-implemented method for training a convolutional neural network (CNN) that is pre-trained using a set of color images are disclosed. The method comprises receiving a training dataset including multiple multidimensional images, each multidimensional image including a color image and a depth image; performing a fine-tuning of the pre-trained CNN using the depth image for each of the plurality of multidimensional images; obtaining a depth CNN based on the pre-trained CNN, wherein the depth CNN is associated with a first set of parameters; replicating the depth CNN to obtain a duplicate depth CNN being initialized with the first set of parameters; and obtaining a depth-enhanced color CNN based on the duplicate depth CNN being fine-tuned using the color image for each of the plurality of multidimensional images, wherein the depth-enhanced color CNN is associated with a second set of parameters."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Cross-trained convolutional neural networks using multimodal images","description":"Embodiments of a computer-implemented method for training a convolutional neural network (CNN) that is pre-trained using a set of color images are disclosed. The method comprises receiving a training ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9633282","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-9633282","citation_suggestion":"Patentable. \"Cross-trained convolutional neural networks using multimodal images\" (US-9633282). https://patentable.app/patents/US-9633282","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9633282","json":"https://patentable.app/api/llm-context/US-9633282","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T17:45:19.449Z"}