A High Precision Counting Framework for Cerithidea moerchii towards Low Power Implementation-Reference-Cited by-同舟云学术

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A High Precision Counting Framework for Cerithidea moerchii towards Low Power Implementation

Published:2023-06-25 Issue: Volume: Page:
ISSN:
Container-title:2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)
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Author:

Zhang Hang¹,Katayama Takafumi²,Song Tian²,Shimamoto Takashi²,Ota Naotomo³

Affiliation:

1. Tokushima University,Department of Science and Engineering,Tokushima City,Japan,770-8506

2. Institute of Technology and Science, Graduate School of Engineering Tokushima University,Tokushima City,Japan,770-8506

3. Creation Technology Engineering, Chemistry Course National Institute of Technology, Anan College,Anan City,Japan,774-0017

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211092/10212431/10212819.pdf?arnumber=10212819

Reference10 articles.

1. Identifying Vehicles Dynamically on Freeway CCTV Images through the YOLO Deep Learning Model

2. A Study of YOLO Algorithm for Target Detection

3. Application of artificial neural network for automatic detection of butterfly species using color and texture features

4. TPH-YOL Ov5: improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios;zhu;Computer Vision and Pattern Recognition,2021

5. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors;wang;Computer Vision and Pattern Recognition,2022

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