Enhancing Marine Conservation: YOLOv8-based Underwater Waste Detection System-Reference-Cited by-同舟云学术

Enhancing Marine Conservation: YOLOv8-based Underwater Waste Detection System

Published:2023-12-21 Issue: Volume: Page:
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Container-title:2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
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Author:

Shah Milind¹,Garg Dweepna¹,Ghariya Rutika²,Solanki Vaishnavi³,Rajput Roopal³,Chauhan Mayur⁴

Affiliation:

1. Devang Patel Institute of Advance Technology & Research (DEPSTAR), Charotar University of Science & Technology (CHARUSAT),Faculty of Technology & Engineering (FTE),Department of Computer Engineering,Changa,India,388421

2. Gujarat Technological University (GTU),Graduate School of Engineering & Technology (GSET),Ahmedabad,Gujarat,India

3. Gujarat Power Engineering & Research Institute(GPERI), A Constitute College of Gujarat Technological University,Department of Computer Engineering,Mehsana,Gujarat,India

4. Department of Computer Engineering, Gujarat Power Engineering & Research Institute(GPERI),A Constitute College of Gujarat Technological University Mehsana, Gujarat, India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424966/10425793/10425982.pdf?arnumber=10425982

Reference16 articles.

1. Underwater Image Recognition Detector using Deep ConvNet

2. Deep-Feature-Based Approach to Marine Debris Classification

3. Deep learning-based waste detection in natural and urban environments

4. Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems

5. An Efficient Deep-Sea Debris Detection Method Using Deep Neural Networks

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