World Data Ocean/YOLOv26n

YOLOv26n

World Data Ocean keeps YOLOv26n in one place: one story so far. The section currently leads with “Sharpening Sonar Detection with Gated Output and Adaptive Loss Integration”. Small sonar targets vanish against blurred boundaries and complex seafloor backgrounds, weakening features and destabilizing box regression. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to… The list below is every YOLOv26n story on World Data Ocean, newest first.

Sharpening Sonar Detection with Gated Output and Adaptive Loss Integration
Frontiers in Marine Science | New and Recent Articles

Sharpening Sonar Detection with Gated Output and Adaptive Loss Integration

Small sonar targets vanish against blurred boundaries and complex seafloor backgrounds, weakening features and destabilizing box regression. This study sharpens detection with a YOLOv26n detector using Gated Output-16 and adaptive loss integration. Gated Output-16 preserves the original feature path at initialization, while MPDIoU-NWD applies scale-aware supervision, Normalized Wasserstein Distance for targets under 1024 pixels². The result: 62.65% mAP50:95 and 85.77% recall, improving baseline by 2.22 and 4.22 points respectively. For deeper context on validated ocean data, see our related coverage on the global