faster rcnn
时间: 2023-09-14 20:05:38 浏览: 32
Faster R-CNN is a type of object detection algorithm in computer vision. It was introduced by Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun in 2015. Faster R-CNN is an extension of R-CNN (Region-based Convolutional Neural Network) and Fast R-CNN, and it improves the speed and accuracy of object detection. It consists of two main modules: a Region Proposal Network (RPN) and a Fast R-CNN detector. The RPN generates region proposals, which are then used by the Fast R-CNN detector to classify and refine the object boundaries. Faster R-CNN has become one of the most popular object detection algorithms in recent years and has been used in various applications such as autonomous driving, robotics, and surveillance.
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