Improvement of YOLOV5 Model Based on the Structure of Multiscale Domain Adaptive Network for Crowdscape

Author:

Zhang Xiangping1,Fan Honghui2,Zhu HongJin2,Huang Xianzhen1,Wu Tao1,Zhou Hongyan1

Affiliation:

1. Jiangsu University of Technology,School of Mechanical Engineering,Changzhou,China,213001

2. Jiangsu University of Technology,School of Computer Engineering,Changzhou,China,213001

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference17 articles.

1. DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer Detection

2. Point-Based Weakly Supervised Learning for Object Detection in High Spatial Resolution Remote Sensing Images

3. DigitalCommons@USU - Small Satellite Conference: Real-Time Satellite Component Recognition with YOLO-V5,2021

4. Improved YOLOv5 Network Model and Application in Safety Helmet Detection

5. Optimized Detection Method for Siberian Crane (Grus leucogeranus) Based on Yolov5;wang,2021

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