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CMAF: Cross-Modal Augmentation via Fusion for Underwater Acoustic Image Recognition
Shih Wei Yang
*
, Li Hsiang Shen,
Hong Han Shuai
*
,
Kai Ten Feng
*
*
此作品的通信作者
電機工程學系
電信工程研究所
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引文 斯高帕斯（Scopus）
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Keyphrases
Image Recognition
100%
Cross-modal
100%
Underwater Image
100%
Image Classification Model
66%
Visual Modality
66%
Source Code
33%
State-of-the-art Techniques
33%
Local Features
33%
Detection Application
33%
Two-branch
33%
Class Imbalance Problem
33%
Mask Based
33%
Acoustics
33%
Terrestrial Data
33%
Signal Modality
33%
Attention Fusion
33%
Fusion Framework
33%
Fusion Module
33%
Focal Loss
33%
Training Strategy
33%
Fish Classification
33%
Underwater Image Classification
33%
Sonar Signal
33%
Noisy Features
33%
Terrestrial Environment
33%
Character Feature
33%
Fish Image Classification
33%
Underwater Detection
33%
Computer Science
Image Classification
100%
Classification Models
66%
Visual Modality
66%
Collected Data
33%
local feature
33%
Class Imbalance Problem
33%
Application Detection
33%
Engineering
Image Recognition
100%
Image Classification
100%
Acoustic Image
100%
Collected Data
33%
State-of-the-Art Method
33%
Earth and Planetary Sciences
Image Classification
100%
Underwater Acoustics
100%
State of the Art
33%
Terrestrial Environment
33%