Methods › General › Pruning › HRank
HRank
Introduced by Mingbao Lin et al. in HRank: Filter Pruning using High-Rank Feature Map
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
HRank is a filter pruning method that explores the High Rank of the feature map in each layer (HRank). The proposed HRank is inspired by the discovery that the average rank of multiple feature maps generated by a single filter is always the same, regardless of the number of image batches CNNs receive. Based on HRank, the authors develop a method that is mathematically formulated to prune filters with low-rank feature maps.
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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HRank: Filter Pruning using High-Rank Feature Map 24 Feb 2020 · 2 repositories · arXiv:2002.10179
Tasks archive 2025-07-28
2 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 |
|---|---|
| Network Pruning | 1 |
| Vocal Bursts Intensity Prediction | 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
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