Methods › Computer Vision › Image Model Blocks › Elastic Dense Block
Elastic Dense Block
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.
Elastic Dense Block is a skip connection block that modifies the Dense Block with downsamplings and upsamplings in parallel branches at each layer to let the network learn from a data scaling policy in which inputs are processed at different resolutions in each layer. It is called "elastic" because each layer in the network is flexible in terms of choosing the best scale by a soft policy.
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