A flexible pruning on deep convolutional neural networks
Despite the successful application of deep convolutional neural networks, due to the redundancy of its structure, the large memory requirements and the high computing cost lead it hard to be well deployed to the edge devices with limited resources.Network pruning is an effective way to eliminate net...
Saved in:
Main Authors: | Liang CHEN, Yaguan QIAN, Zhiqiang HE, Xiaohui GUAN, Bin WANG, Xing WANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2022-01-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022004/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A low functional redundancy-based network slimming method for accelerating deep neural networks
by: Zheng Fang, et al.
Published: (2025-04-01) -
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
by: Manish Sharma, et al.
Published: (2025-01-01) -
Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning
by: Hailin Su, et al.
Published: (2024-12-01) -
Lightweight defense mechanism against adversarial attacks via adaptive pruning and robust distillation
by: Bin WANG, et al.
Published: (2022-12-01) -
Tailored Channel Pruning: Achieve Targeted Model Complexity Through Adaptive Sparsity Regularization
by: Suwoong Lee, et al.
Published: (2025-01-01)