Your Location：
Home >
Browse articles >
Design and implementation of semi-supervised image labeling system based on deep learning
Design and implementation of semi-supervised image labeling system based on deep learning
- Journal of China Agricultural University Vol. 26, Issue 5, (2021)
DOI： 10.11841/j.issn.1007-4333.2021.05.15
Scan QR Code
Full Text(HTML)
References
Publication Info
Metrics
5
Views
57
Downloads
1
CSCD
Alert me when the article has been cited
Submit
Tools
- BibTeXDownload
- EndnoteDownload
- RefMan Download
- NoteExpressDownload
- NoteFirstDownload
Related Articles
CEF-YOLOv11 method for wolfberry ripeness recognition in smart harvesting
Pig object detection algorithm based on lightweight YOLOV4
PETFish-MViT: A novel classification model of ornamental fish based on improved MobileViT
Weed identification and localization in corn seedling fields based on YOLOv8n
Research progress of deep learning in the application of individual recognition and daily behavior detection in sheep
Related Author
MAO Ziang
WANG Binlong
ZHANG Hanyu
LI Zhenbo
YU Qiudong
YANG Ming
YUAN Hong
LIANG Kun
Related Institution
College of Information and Electrical Engineering/Key Laboratory of Standardization of Agricultural Informatization， Ministry of Agriculture and Rural Affairs/National Digital Fishery Innovation Center of the Ministry of Agriculture and Rural Affairs/Key Laboratory of Smart Breeding Technology， Ministry of Agriculture and Rural Affairs/Beijing Engineering and Technology Research Center for Internet of Things in Agriculture/National Digital Agricultural Product Circulation Innovation Sub center of the Ministry of Agriculture and Rural Affairs， China Agricultural University
School of Computer and Information Engineering, Tianjin Chengjian University
School of Information Technology and Engineering, Tianjin University of Technology and Education
School of Computer and Information Engineering, Tianjin Agricultural University
School of Information Science and Technology， Beijing Forestry University
Chat
