faster rcnn
时间: 2023-09-13 07:12:10 浏览: 56
Faster R-CNN is a popular object detection algorithm that builds on the earlier R-CNN (Region-based Convolutional Neural Network) and Fast R-CNN models. It was first introduced by Ross Girshick in 2015 and is considered a breakthrough in the field of computer vision.
The main idea behind Faster R-CNN is to separate the region proposal generation and object detection tasks using two different neural networks. The first network, called the Region Proposal Network (RPN), generates a set of object proposals from the image. The second network, called the Fast R-CNN detector, takes these proposals and classifies them into different object categories.
Faster R-CNN achieves state-of-the-art performance on several benchmark datasets such as PASCAL VOC and COCO. It is widely used in various applications such as autonomous driving, surveillance, and robotics.