Filter Pruning by Switching to Neighboring CNNs with Good Attributes

Filter pruning is effective to reduce the computational costs of neural networks. Existing methods show that updating the previous pruned filter would enable large model capacity and achieve better performance. However, during the iterative pruning process, even if the network weights are updated to...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2022-02
Hauptverfasser:	He, Yang, Liu, Ping, Zhu, Linchao, Yang, Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science - Computer Vision and Pattern Recognition Criteria Image classification Neural networks Pruning Switching theory
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!