Towards the Urban Future: A Novel Trash Segregation Algorithm Based on Improved YOLOV4-Reference-Cited by-同舟云学术

Towards the Urban Future: A Novel Trash Segregation Algorithm Based on Improved YOLOV4

Published:2021-12-27 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)
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Author:

Zhou Pan¹,Zhu Zuojun¹,Xu Xiangrong¹,Liu Xuefei¹,He Bingwei²,Zhang Jianwei³

Affiliation:

1. Anhui University of Technology,School of Mechanical Engineering,Ma’Anshan,China,243032

2. Fuzhou University,School of Mechanical Engineering and Automation,Fuzhou,China,350116

3. University of Hamburg,Department of Computer,Hamburg,Germany,20095

Funder

Research and Development

Publisher

IEEE

Link

Reference21 articles.

3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks;ren,2016

4. Deep Residual Learning for Image Recognition;he,2015

5. YOLOv4: Optimal Speed and Accuracy of Object Detection;bochkovskiy,0

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2. Analysis on Robotic Based Waste Segregation Techniques Using Artificial Intelligence;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

3. Trash Stratification by Using Convolution Neural Network;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01