Plant images recognition based on transfer learning

Miao, Sheng, Hou, Jingyu and Zhong, Lihui 2020, Plant images recognition based on transfer learning, in ICIAI 2020 : Proceedings of the 2020 4th International Conference on Innovation in Artificial Intelligence, Association for Computing Machinery, New York, N.Y., pp. 125-129, doi: 10.1145/3390557.3394310.

Attached Files
Name Description MIMEType Size Downloads

Title Plant images recognition based on transfer learning
Author(s) Miao, Sheng
Hou, JingyuORCID iD for Hou, Jingyu orcid.org/0000-0002-6403-9786
Zhong, Lihui
Conference name Association for Computing Machinery. International Conference (4th : 2020 : Xiamen, China)
Conference location Xiamen, China
Conference dates 2020/05/08 - 2020/05/11
Title of proceedings ICIAI 2020 : Proceedings of the 2020 4th International Conference on Innovation in Artificial Intelligence
Editor(s) [Unknown]
Publication date 2020
Series Association for Computing Machinery International Conference
Start page 125
End page 129
Total pages 5
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) tree recognition
deep learning
transfer learning
Inception-v3
Inception-ResNet-v2
ISBN 9781450376587
Language eng
DOI 10.1145/3390557.3394310
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139372

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 33 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Thu, 25 Jun 2020, 14:43:47 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.