Improvement of YOLOV5 Model Based on the Structure of Multiscale Domain Adaptive Network for Crowdscape
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/9754526/9754527/09754600.pdf?arnumber=9754600
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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