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...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 6153 - 6162
Main Authors:	Li, Jiafeng, Wen, Ying, He, Lianghua
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2023
Subjects:	Computational efficiency Computational modeling Computer vision Computer vision for social good Convolution Convolutional neural networks Feature extraction Redundancy
ISSN:	1063-6919
Online Access:	Get full text
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