faster rcnn
时间: 2023-09-26 11:13:18 浏览: 52
Faster R-CNN is a popular object detection algorithm proposed by Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun in 2015. It is an extension of the earlier R-CNN and Fast R-CNN algorithms that improves both the speed and accuracy of object detection.
Faster R-CNN uses a Region Proposal Network (RPN) to generate region proposals instead of using selective search, which was used in earlier algorithms. The RPN shares convolutional layers with the detection network, making it faster and more efficient.
After the RPN generates region proposals, they are passed through a detection network to classify and refine the proposals. The detection network is similar to that used in Fast R-CNN, but it directly takes the region proposals as input instead of using a separate feature extraction step.
Overall, Faster R-CNN has become a popular choice for object detection tasks due to its high accuracy and relatively fast performance.
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