Methods › Computer Vision › Convolutional Neural Networks › CSPPeleeNet
CSPPeleeNet
Introduced by Chien-Yao Wang et al. in CSPNet: A New Backbone that can Enhance Learning Capability of CNN
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CSPPeleeNet is a convolutional neural network and object detection backbone where we apply the Cross Stage Partial Network (CSPNet) approach to PeleeNet. 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.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
-
CSPNet: A New Backbone that can Enhance Learning Capability of CNN 27 Nov 2019 · 123 repositories · arXiv:1911.11929
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Attribute | 1 |
| Image Classification | 1 |
| Object Detection | 1 |
| Real-Time Object Detection | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections