Convolutional Neural Networks

CSPDarknet53

Introduced by Bochkovskiy et al. in YOLOv4: Optimal Speed and Accuracy of Object Detection

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.

Source: YOLOv4: Optimal Speed and Accuracy of Object Detection

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