FogGate-YOLO: Traffic Object Detection in Foggy Environments Using Channel Selection Mechanisms
To address the challenges posed by foggy conditions in object detection tasks, we propose FogGate-YOLO, an enhanced YOLOv8 framework designed for robust and efficient detection in foggy environments. Unlike traditional methods that rely on image dehazing or preprocessing enhancements, our approach d...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , |
|---|---|
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2026-03-01
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| Σειρά: | Sensors |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/1424-8220/26/6/1811 |
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