Cross-Domain Coral Image Classification Using Dual-Stream Hierarchical Neural Networks-Reference-Cited by-同舟云学术

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Cross-Domain Coral Image Classification Using Dual-Stream Hierarchical Neural Networks

Published:2024-04-08 Issue: Volume:9 Page:945-952
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
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Author:

Han Hongyong¹^ORCID,Wang Wei¹^ORCID,Zhang Gaowei¹^ORCID,Li Mingjie²³^ORCID,Wang Yi¹^ORCID

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

2. Nansha Islands Coral Reef Ecosystem National Observation and Research Station, Guangzhou, China

3. South China Sea Institute of Planning and Environmental Research, State Oceanic Administration, Guangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3635980

Reference48 articles.

1. Characterizing the deep insular shelf coral reef habitat of the Hind Bank marine conservation district (US Virgin Islands) using the Seabed autonomous underwater vehicle

2. A Novel Approach for Coral Image Classification with Dual-branch Feature Fusion Neural Network

3. Automated annotation of coral reef survey images

4. Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation

5. Shai Ben David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan. 2010. A theory of learning from different domains. Machine learning 79, 1 (2010), 151--175.

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