Few-Shot Learning for Small Impurities in Tobacco Stems With Improved YOLOv7
Author:
Affiliation:
1. College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China
2. Jiangsu Xinyuan Tobacco Sheet Company Ltd., Huaian, China
Funder
National Natural Science Foundation of China
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/ielx7/6287639/10005208/10122545.pdf?arnumber=10122545
Reference27 articles.
1. An Evaluation of Deep Learning Methods for Small Object Detection
2. A survey on image data augmentation for deep learning;shorten;J Big Data,2019
3. TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
4. Small target deep convolution recognition algorithm based on improved YOLOv4
5. Transfer learning for small dataset;barman;Proc Nat Conf Mach Learn,2019
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