Deep Residual Networks With a Flask-Like Channel Structure

Deep Residual Networks With a Flask-Like Channel Structure

The development of deep residual network (ResNet) has contributed significantly to the progress of computer vision and image classification, expanding the applicability of convolutional neural networks to different fields. Researchers continue to improve the classification accuracy of ResNet by incr...

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Bibliographic Details
Main Authors: Dongyao Li, Yunhui Pan, Shuhua Mao, Mingsen Deng, Hujun Shen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep residual network
deep learning
channel size
parameter size
image classification accuracy
Online Access:https://ieeexplore.ieee.org/document/10374112/

Internet

https://ieeexplore.ieee.org/document/10374112/

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