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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Published in | Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 6153 - 6162 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2023
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Subjects | |
Online Access | Get full text |
ISSN | 1063-6919 |
DOI | 10.1109/CVPR52729.2023.00596 |
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