FCHP: Exploring the Discriminative Feature and Feature Correlation of Feature Maps for Hierarchical DNN Pruning and Compression
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DOI: 10.1109/tcsvt.2022.3170620
Abstract: Pruning can remove the redundant parameters and structures of Deep Neural Networks (DNNs) to reduce inference time and memory overhead. As one of the important components of DNN, feature maps (FMs) have been widely used… read more here.
Keywords: feature; discriminative feature; feature correlation; feature maps ... See more keywords