Methods › Computer Vision › Image Models › LR-Net
LR-Net
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
An LR-Net is a type of non-convolutional neural network that utilises local relation layers instead of convolutions for image feature extraction. Otherwise, the architecture follows the same design as a ResNet.
Papers archive 2025-07-28
3 shown of 3, 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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Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation 15 Jan 2025 · 0 repositories · arXiv:2501.09116
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LR-Net: A Lightweight and Robust Network for Infrared Small Target Detection 5 Aug 2024 · 0 repositories · arXiv:2408.02780
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Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction 23 Apr 2021 · 1 repository · arXiv:2104.11436Syntology ran 3 of 3 samples · 0 unverified
Tasks archive 2025-07-28
9 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 Segmentation | 1 |
| Medical Image Analysis | 1 |
| Medical Image Segmentation | 1 |
| Prediction | 1 |
| Segmentation | 1 |
| Semantic Segmentation | 1 |
| Tumor Segmentation | 1 |
| counterfactual | 1 |
| regression | 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