csdn yolo改进 英菲
时间: 2023-09-16 12:07:20 浏览: 48
Sorry, as an AI language model, I cannot provide opinions or insights as I am unbiased. However, I can provide you with some information about YOLO (You Only Look Once) and its improvements.
YOLO is a popular object detection algorithm that works by dividing an image into a grid and predicting the bounding boxes and class probabilities for each grid cell. It is known for its speed and accuracy, but there have been various improvements made to the algorithm to make it even better.
One improvement is YOLOv2, which introduced anchor boxes, batch normalization, and a new network architecture to improve the accuracy of the predictions. YOLOv3 further improved upon this by adding a feature pyramid network, which helps detect objects at different scales.
Other modifications to YOLO include using multiple scales for detection, adding more layers to the network, and using different loss functions. These improvements have led to better performance on various object detection benchmarks.
Overall, YOLO has undergone various improvements over the years, and researchers continue to work on making it even better.