Adaptive Scaling Filter Pruning Method for Vision Networks With Embedded Devices

Owing to improvements in computing power, deep learning technology using convolutional neural networks (CNNs) has recently been used in various fields. However, using CNNs on edge devices is challenging because of the large computation required to achieve high performance. To solve this problem, pru...

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Veröffentlicht in:	IEEE access Jg. 12; S. 123771 - 123781
Hauptverfasser:	Ko, Hyunjun, Kang, Jin-Ku, Kim, Yongwoo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive filters Adaptive systems Artificial neural networks Batch normalization Computer vision convolutional neural network Convolutional neural networks Datasets Deep learning Filtering algorithms Inference inference time Information filters Machine learning network compression Pruning Quantization (signal) Redundancy Training
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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