DGG-YOLO: A Robust Framework for Infrared Ship Detection With Graph Reasoning and Enhanced Multi-Scale Fusion
Infrared remote sensing plays a vital role in all-weather maritime surveillance. However, the automatic detection of ships in infrared imagery is often hindered by low contrast, the prevalence of small-sized targets, and complex background clutter from sea waves. To overcome these practical challeng...
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| Glavni autori: | , , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
IEEE
2026-01-01
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| Serija: | IEEE Access |
| Teme: | |
| Online pristup: | https://ieeexplore.ieee.org/document/11426951/ |
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