Methods › Computer Vision › Semantic Segmentation Models › LiteSeg
LiteSeg
Introduced by Taha Emara et al. in LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
LiteSeg is a lightweight architecture for semantic segmentation that uses a deeper version of Atrous Spatial Pyramid Pooling module (ASPP) and applies short and long residual connections, and depthwise separable convolution, resulting in a faster, more efficient model.
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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LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation 13 Dec 2019 · 2 repositories · arXiv:1912.06683
Tasks archive 2025-07-28
6 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 |
|---|---|
| Computational Efficiency | 1 |
| Image Segmentation | 1 |
| Medical Image Analysis | 1 |
| Real-Time Semantic Segmentation | 1 |
| Segmentation | 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