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A Self-Supervised Hybrid Similarity Framework for Underwater Coral Species Classification

Year: 2025

Type: article

Abstract: Few-shot learning has emerged as a crucial technique for coral species classification, addressing the challenge of limited labeled data in underwater environments. This study introduces an optimized few-shot learning model th... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.066509

Authors: Yu-Shiuan Tsai, Zhen-Rong Wu, Jian-Zhi Liu

Institution: National Taiwan Ocean University

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Life below water

Open Access status: diamond

Funder: National Science and Technology Council