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To reduce the computational cost, and meantime, to preserve the performance of the trained deep CNN, we propose a new filter pruning method using an additional ...
Title: Effective Filter Pruning Method Using Additional Downsampled Image for Global Pooling Applied CNN. Language: English; Authors: Kim, Hyunseok1 (AUTHOR) ...
Our method takes advantage of the fact that information in high-resolution images is lost in the downsampling process. Each trained convolutional filter reacts ...
Filter and feature maps information are used in the pruning process: Principal Component Analysis (PCA) is combined with a next-convolution influence-metric, ...
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Oct 22, 2024 · Experiments demonstrating their effectiveness are conducted over distinct CNNs and datasets, focusing mainly on semantic segmentation (using U- ...
This work proposes an efficient strategy to compress on the layers which are computation or memory consuming, and can reach a 60.9× compression ratio in ...
Aug 9, 2024 · Tables 13 - Table 17 show that more pruning methods use global than local pruning. ... Wang, “Gate Decorator: Global filter pruning method ...
The basic idea is that by clustering, one can know how many features the input images have and how many filters are enough to extract all features. This paper ...
Missing: Downsampled Global
In an attempt to confront these challenges, we consider filter-level pruning in our proposed method, whereby removing the unimportant filter in its entirety ...
Feb 12, 2024 · Pooling, also known as subsampling or downsampling, is a technique used in CNNs to reduce the spatial dimensions of feature maps while retaining ...
Missing: Effective Pruning