Pruning
HRank
Introduced by Lin et al. in HRank: Filter Pruning using High-Rank Feature MapHRank 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.
Source: HRank: Filter Pruning using High-Rank Feature Map
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
