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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Vydané v:	Neurocomputing (Amsterdam) Ročník 640; s. 130291
Hlavní autori:	Kasenbacher, Geoffrey, Ehret, Felix, Ecke, Gerrit, Otte, Sebastian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2025
Predmet:	Computer vision Convolutional sparse coding Locally competitive algorithms Computer vision Convolutional sparse coding Locally competitive algorithms
ISSN:	0925-2312
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