Convolutional Neural Networks

CSPResNeXt is a convolutional neural network where we apply the Cross Stage Partial Network (CSPNet) approach to ResNeXt. The CSPNet partitions 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.

Source: CSPNet: A New Backbone that can Enhance Learning Capability of CNN


Paper Code Results Date Stars


Task Papers Share
Object Detection 2 33.33%
Real-Time Object Detection 2 33.33%
BIG-bench Machine Learning 1 16.67%
Image Classification 1 16.67%