MDPruner: Meta-Learning Driven Dynamic Filter Pruning for Efficient Object Detection

Filter pruning is a potent technique for diminishing the computational demands of Convolutional Neural Networks (CNNs), while effectively retaining model performance in image categorization tasks. However, research on its application to object detection models is scant and often incurs substantial p...

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Detalles Bibliográficos

Principais autores:	Lingyun Zhou, Xiaoyong Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Object detection filter pruning meta-learning convolutional neural network compression and acceleration
Acceso en liña:	https://ieeexplore.ieee.org/document/10684711/
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