{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11295170","patent":{"patent_number":"US-11295170","title":"Group-equivariant convolutional neural networks for 3D point clouds","assignee":null,"inventors":[],"filing_date":"2021-08-17T00:00:00.000Z","publication_date":"2022-04-05T00:00:00.000Z","cpc_codes":["G06F","G06V","G06T","G06T","G06V","G06V","G06V","G06V","G06V","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"A system including one or more computers and one or more storage devices storing instructions that, when executed by the one or more computers, cause the one or more computers to implement a group-equivariant convolutional neural network configured to process a network input including a set of 3D points to generate an output tensor representing transformed features of the network input is described. The group-equivariant convolutional neural network includes a grouping layer, a switching layer, a pre-processing layer, a group-equivariant layer, a first subnetwork, an average pooling layer, a second subnetwork, an output subnetwork, and a final output layer."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Group-equivariant convolutional neural networks for 3D point clouds","description":"A system including one or more computers and one or more storage devices storing instructions that, when executed by the one or more computers, cause the one or more computers to implement a group-equ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11295170","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-11295170","citation_suggestion":"Patentable. \"Group-equivariant convolutional neural networks for 3D point clouds\" (US-11295170). https://patentable.app/patents/US-11295170","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11295170","json":"https://patentable.app/api/llm-context/US-11295170","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T13:45:58.908Z"}