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

Latest Papers

PAPER DATE
YOLOv4: Optimal Speed and Accuracy of Object Detection
| Alexey BochkovskiyChien-Yao WangHong-Yuan Mark Liao
2020-04-23
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
| Chien-Yao WangHong-Yuan Mark LiaoI-Hau YehYueh-Hua WuPing-Yang ChenJun-Wei Hsieh
2019-11-27

Tasks

TASK PAPERS SHARE
Object Detection 2 33.33%
Real-Time Object Detection 2 33.33%
adversarial training 1 16.67%
Image Classification 1 16.67%

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