Methods › Computer Vision › Convolutional Neural Networks › CSPDenseNet-Elastic
CSPDenseNet-Elastic
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CSPDenseNet-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.
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.
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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