Convolutional Neural Networks
CSPDenseNet-Elastic
Introduced by Wang et al. in CSPNet: A New Backbone that can Enhance Learning Capability of CNNCSPDenseNet-Elastic is a convolutional neural network and object detection backbone where we apply the Cross Stage Partial Network (CSPNet) approach to DenseNet-Elastic. 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
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Classification | 1 | 33.33% |
| Object Detection | 1 | 33.33% |
| Real-Time Object Detection | 1 | 33.33% |
DenseNet-Elastic
