Methods › Computer Vision › Convolutional Neural Networks › DenseNet-Elastic
DenseNet-Elastic
Introduced by Huiyu Wang et al. in ELASTIC: Improving CNNs with Dynamic Scaling Policies
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
DenseNet-Elastic is a convolutional neural network that is a modification of a DenseNet with elastic blocks (extra upsampling and downsampling).
Papers archive 2025-07-28
2 shown of 2, 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
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ELASTIC: Improving CNNs with Dynamic Scaling Policies 13 Dec 2018 · 1 repository · arXiv:1812.05262Syntology ran 1 of 10 samples · 9 unverified
Tasks archive 2025-07-28
8 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 |
| General Classification | 1 |
| Image Classification | 1 |
| MUlTI-LABEL-ClASSIFICATION | 1 |
| Multi-Label Classification | 1 |
| Object Detection | 1 |
| Real-Time Object Detection | 1 |
| Semantic Segmentation | 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