Yolov3 Network Architecture

贴一张Yolov3网络结构图~

filter = 3*(80+1+4) = 255

Yolov3 is a fully convolutional network. It has 75 convolutional layers, with skip connections and upsampling layers. No form of pooling is used, and a convolutional layer with stride 2 is used to downsample the feature maps, which helps in preventing loss of low-level features often attributed to pooling.

详细内容见:A Closer Look at YOLOv3

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