Methods › Computer Vision › Convolutional Neural Networks › HS-ResNet
HS-ResNet
Introduced by Pengcheng Yuan et al. in HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
HS-ResNet is a convolutional neural network that employs Hierarchical-Split Block as its central building block within a ResNet-like architecture.
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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HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network 15 Oct 2020 · 2 repositories · arXiv:2010.07621
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 |
|---|---|
| Image Classification | 1 |
| Image Segmentation | 1 |
| Instance Segmentation | 1 |
| Object Detection | 1 |
| Segmentation | 1 |
| Semantic Segmentation | 1 |
| image-classification | 1 |
| 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