{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11244188","patent":{"patent_number":"US-11244188","title":"Dense and discriminative neural network architectures for improved object detection and instance segmentation","assignee":null,"inventors":[],"filing_date":"2020-04-10T00:00:00.000Z","publication_date":"2022-02-08T00:00:00.000Z","cpc_codes":["G06V","G06F","G06N","G06N","G06N","G06V","G06V","G06V","G06V","G06V"],"num_claims":20,"abstract":"This disclosure relates to improved techniques for performing computer vision functions, including common object detection and instance segmentation. The techniques described herein utilize neural network architectures to perform these functions in various types of images, such as natural images, UAV images, satellite images, and other images. The neural network architecture can include a dense location regression network that performs object localization and segmentation functions, at least in part, by generating offset information for multiple sub-regions of candidate object proposals, and utilizing this dense offset information to derive final predictions for locations of target objects. The neural network architecture also can include a discriminative region-of-interest (RoI) pooling network that performs classification of the localized objects, at least in part, by sampling various sub-regions of candidate proposals and performing adaptive weighting to obtain discriminative features."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Dense and discriminative neural network architectures for improved object detection and instance segmentation","description":"This disclosure relates to improved techniques for performing computer vision functions, including common object detection and instance segmentation. The techniques described herein utilize neural net","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11244188","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-11244188","citation_suggestion":"Patentable. \"Dense and discriminative neural network architectures for improved object detection and instance segmentation\" (US-11244188). https://patentable.app/patents/US-11244188","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11244188","json":"https://patentable.app/api/llm-context/US-11244188","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T20:33:17.078Z"}