COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

25 Jun 2019Wenxiao WangCong FuJishun GuoDeng CaiXiaofei He

Neural network compression empowers the effective yet unwieldy deep convolutional neural networks (CNN) to be deployed in resource-constrained scenarios. Most state-of-the-art approaches prune the model in filter-level according to the "importance" of filters... (read more)

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