An Efficient Detection of Floating Marine Debris using Deep Learning Techniques-Reference-Cited by-同舟云学术

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An Efficient Detection of Floating Marine Debris using Deep Learning Techniques

Published:2024-03-22 Issue: Volume: Page:5-9
ISSN:
Container-title:2024 IEEE Bangalore Humanitarian Technology Conference (B-HTC)
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Author:

Pandey Prachi¹,S Guru Prasad M¹,Mayank Kumar¹,Gowda Mahima M²,Kumar S P Prashanth³,U Karthik D⁴

Affiliation:

1. Graphic Era (Deemed to be University),Dept. of Computer Science and Engg.,Dehradun,India

2. REVA University,School of Computing and Information Technology,Bengaluru,India

3. Acharya Institute of Technology,Dept. of Computer Science and Engg.,Bengaluru,India

4. Nitte Meenakshi Institute of Technology,Dept. of Information Science and Engg.,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562383/10562385/10564049.pdf?arnumber=10564049

Reference9 articles.

1. MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data

2. Anthropogenic Marine Debris assessment with Unmanned Aerial Vehicle imagery and deep learning: A case study along the beaches of the Republic of Maldives

3. Marine Debris Detection in Satellite Surveillance Using Attention Mechanisms

4. Automatic Detection and Identification of Floating Marine Debris Using Multispectral Satellite Imagery

5. Coastal Marine Debris Density Mapping using a Segmentation Analysis of High-Resolution Satellite Imagery

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