Methods › Computer Vision › Convolutions › Depthwise Dilated Separable Convolution
Depthwise Dilated Separable Convolution
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Depthwise Dilated Separable Convolution is a type of convolution that combines depthwise separability with the use of dilated convolutions.
Papers archive 2025-07-28
4 shown of 4, 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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Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach 13 Apr 2024 · 0 repositories · arXiv:2404.13067
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ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding 23 Mar 2023 · 1 repository · arXiv:2303.13186
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Light-Weighted CNN for Text Classification 16 Apr 2020 · 1 repository · arXiv:2004.07922
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ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network 28 Nov 2018 · 10 repositories · arXiv:1811.11431Syntology ran 2 of 4 samples · 2 unverified
Tasks archive 2025-07-28
20 shown of 21 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
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
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