SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy

Convolutional Neural Networks (CNNs) have achieved remarkable performance in various computer vision tasks but this comes at the cost of tremendous computational resources, partly due to convolutional layers extracting redundant features. Recent works either compress well-trained large-scale models...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 6153 - 6162
Hauptverfasser:	Li, Jiafeng, Wen, Ying, He, Lianghua
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2023
Schlagworte:	Computational efficiency Computational modeling Computer vision Computer vision for social good Convolution Convolutional neural networks Feature extraction Redundancy
ISSN:	1063-6919
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!