Methods › Computer Vision › Semantic Segmentation Modules › DASPP
Deeper Atrous Spatial Pyramid Pooling
DASPP
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.
DASPP is a deeper version of the ASPP module (the latter from DeepLabv3) that adds standard 3 × 3 convolution after 3 × 3 dilated convolutions to refine the features and also fusing the input and the output of the DASPP module via short residual connection. Also, the number of convolution filters of ASPP is reduced from 255 to 96 to gain computational performance.
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