DAMNet: Dual Attention Mechanism Deep Neural Network for Underwater Biological Image Classification-Reference-Cited by-同舟云学术

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DAMNet: Dual Attention Mechanism Deep Neural Network for Underwater Biological Image Classification

Published:2023 Issue: Volume:11 Page:6000-6009
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Qu Peixin¹,Li Tengfei¹^ORCID,Zhou Ling¹,Jin Songlin¹^ORCID,Liang Zheng²^ORCID,Zhao Wenyi³^ORCID,Zhang Weidong¹^ORCID

Affiliation:

1. School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China

2. School of Internet, Anhui University, Hefei, China

3. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

Funder

Natural Science Foundation of Henan Province

Key Specialized Research and Development Program of Science and Technology in Henan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/09970733.pdf?arnumber=9970733

Reference54 articles.

1. L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion

2. Classification of Underwater Target Based on S-ResNet and Modified DCGAN Models

3. DUICM Deep Underwater Image Classification Mobdel using Convolutional Neural Networks

4. Classification of Low Quality Underwater Objects Using Convolutional Neural Networks and Transfer Learning

5. A Deep learning method for accurate and fast identification of coral reef fishes in underwater images

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