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Sep, 2023
预算感知剪枝:用较少的参数处理多个领域
Budget-Aware Pruning: Handling Multiple Domains with Less Parameters
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Samuel Felipe dos Santos, Rodrigo Berriel, Thiago Oliveira-Santos, Nicu Sebe, Jurandy Almeida
TL;DR
通过剪枝模型,我们能够在具有多个领域的测试环境中处理更少的参数和更低的计算复杂度,从而更好地适应资源受限的设备。
Abstract
deep learning
has achieved state-of-the-art performance on several computer vision tasks and domains. Nevertheless, it still has a high computational cost and demands a significant amount of parameters. Such requirements hinder the use in
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