CSPDarknet53

2000년 도입 · 논문 132편에서 사용

CSPDarknet53 is a convolutional neural network and backbone for object detection that uses DarkNet-53. It employs a CSPNet strategy to partition the feature map of the base layer into two parts and then merges them through a cross-stage hierarchy. The use of a split and merge strategy allows for more gradient flow through the network. This CNN is used as the backbone for YOLOv4.

출처: YOLOv4: Optimal Speed and Accuracy of Object Detection

소개 논문: YOLOv4: Optimal Speed and Accuracy of Object Detection