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 inProceedings (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
LanguageEnglish
Published IEEE 01.06.2023
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ISSN1063-6919
DOI10.1109/CVPR52729.2023.00596

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