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About Deep Learning Based Multi Modal Fusion Architecture For Maritime Vessel Detection
This document discusses three deep learning fusion architectures for maritime vessel detection using visible and infrared images. It presents pixel-level, feature-level, and decision-level fusion architectures that combine information from the two modalities at different levels of abstraction. Experiments on a real marine image dataset show that the feature-level fusion architecture, which fuses extracted features from each modality, outperforms the other fusion architectures and uni-modal detection.
Detailed Information
| Author: | ['Samuele Tesfaye'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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