Channel Pruning via Multi-Criteria based on Weight Dependency
Published: Jul 18, 2021
Abstract
Channel pruning has demonstrated its effectiveness in compressing ConvNets. In many related arts, the importance of an output feature map is only determined by its associated filter. However, these methods ignore a small part of weights in the next layer which disappears as the feature map is removed. They ignore the phenomenon of weight dependency. Besides, many pruning methods use only one criterion for evaluation and find a sweet spot of...
Paper Details
Title
Channel Pruning via Multi-Criteria based on Weight Dependency
Published Date
Jul 18, 2021
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