Resource-Restricted Environments Based Memory-Efficient Compressed Convolutional Neural Network Model for Image-Level Object Classification

Resource-Restricted Environments Based Memory-Efficient Compressed Convolutional Neural Network Model for Image-Level Object Classification

In the past decade, Convolutional Neural Networks (CNNs) have achieved tremendous success in solving complex classification problems. CNN architectures require an excessive number of computations to achieve high accuracy. However, these models are deficient due to the heavy cost of storage and energ...

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Bibliographic Details
Main Authors: Zahra Waheed, Shehzad Khalid, Syed Mursleen Riaz, Sajid Gul Khawaja, Rimsha Tariq
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Memory-efficient network compression
pruning
quantization
image-level object classification
resource-restricted edge-devices
Online Access:https://ieeexplore.ieee.org/document/9989372/

Internet

https://ieeexplore.ieee.org/document/9989372/

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