WARP-LCA: Efficient convolutional sparse coding with Locally Competitive Algorithm

The locally competitive algorithm (LCA) can solve sparse coding problems across a wide range of use cases. Recently, convolution-based LCA approaches have been shown to be highly effective for enhancing robustness for image recognition tasks in vision pipelines. To additionally maximize representati...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 640; p. 130291
Main Authors:	Kasenbacher, Geoffrey, Ehret, Felix, Ecke, Gerrit, Otte, Sebastian
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2025
Subjects:	Computer vision Convolutional sparse coding Locally competitive algorithms Computer vision Convolutional sparse coding Locally competitive algorithms
ISSN:	0925-2312
Online Access:	Get full text
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