A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs 事件

A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs arXiv:2409.03777v3 Announce Type: replace Abstract: Deep convolutional neural networks (CNNs) have achieved impressive performance in many computer vision tasks. However, their large model sizes require heavy computational resources, making pruning redundant filters from existing pre-trained CNNs an essential task in developing efficient models for resource-constrained devices. Whole-network filter pruning algorithms prune v