An Improved Res2Net-Based Model for Classifying the Appearance of Deer Antler Slices-Reference-Cited by-同舟云学术

An Improved Res2Net-Based Model for Classifying the Appearance of Deer Antler Slices

Published:2023 Issue: Volume:11 Page:99705-99715
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Dongming¹^ORCID,Yao Rui²^ORCID,Yang Chenglin²,Zhao Chunxi²^ORCID,Zhang Lijuan¹

Affiliation:

1. College of Internet of Things Engineering, Wuxi University, Wuxi, China

2. College of Information Technology, Jilin Agricultural University, Changchun, China

Funder

Jilin Provincial Department of Education Project

jilin Province Ecological Environment Department Project

Jilin province science and technology development plan project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10164254.pdf?arnumber=10164254

Reference38 articles.

1. Research progress on identification and quality control of deer antler herbs;weiwei;J of Chinese Modern Traditional Chinese Medicine,2017

2. Wild plant image recognition method based on residual network and migration learning;lipeng;Radio Eng,2021

3. Small-sample fine-grained image classification based on adaptive feature fusion;yaohua;Comput Eng Appl,0

4. Research on Tibetan medicine plant image classification algorithm based on improved ResNet;ting;Electronic Technology and Software Engineering,2022

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