ResPrune: An energy-efficient restorative filter pruning method using stochastic optimization for accelerating CNN

Convolutional Neural Networks (CNNs) are frequently employed for image pattern recognition and other computer vision tasks. When over-parameterized deep learning models are used for inference, resource-constrained edge devices may struggle. As a result, model compression, particularly filter pruning...

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Bibliographic Details

Published in:	Pattern recognition Vol. 155; p. 110671
Main Authors:	Jayasimhan, Anusha, P., Pabitha
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2024
Subjects:	Deep learning Image classification Model compression Neural networks Pruning Deep learning Pruning Neural networks Model compression Image classification
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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