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Region-based convolutional neural networks have been used for tracking objects from a drone-mounted camera, locating text in an image, and enabling object detection in Google Lens. Mask R-CNN serves as one of seven tasks in the MLPerf Training Benchmark, which is a competition to speed up the … See more Region-based Convolutional Neural Networks (R-CNN) are a family of machine learning models for computer vision and specifically object detection. See more The original goal of R-CNN was to take an input image and produce a set of bounding boxes as output, where each bounding box contains an object and also the category (e.g. car or pedestrian) of the object. More recently, R-CNN has been extended to perform … See more WebApr 10, 2024 · An active-set strategy is used with Newton's interior point method and a trust-region strategy to insure global convergence for deterministic α -FCSGs problems from … WebFeb 15, 2024 · AWS Global, Regional, AZ resource Availability. AWS provides a lot of services and these services are either Global, Regional, or Availability Zone specific and cannot be accessed outside. Most of the AWS-managed services are regional-based services with few exceptions being Global (e.g. IAM, Route53, CloudFront, etc) or AZ bound. polyphoto camera