ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network

ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network

In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes...

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Bibliographic Details
Main Authors: Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
neural network
post-training quantization
attention
particle swarm algorithm
Online Access:https://www.mdpi.com/2076-3417/15/7/3980
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