Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery

Author:

Cai Enyu1,Guo Jiaqi1,Yang Changye1,Delp Edward J.1

Affiliation:

1. Purdue University,Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering,West Lafayette,Indiana,USA

Funder

Advanced Research Projects Agency

U.S. Department of Energy

Publisher

IEEE

Reference18 articles.

1. End-to-End Semi-Supervised Object Detection with Soft Teacher

2. A simple semi-supervised learning framework for object detection;sohn,2020

3. Efficient teacher: Semi-supervised object detection for yolov5;xu,2023

4. Unbiased teacher for semi-supervised object detection;liu;Proceedings of the International Conference on Learning Representations,2021

5. Fixmatch: Simplifying semi-supervised learning with consistency and confidence;sohn;Proc of International Conference on Neural Information Processing,2020

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