World Data Ocean/Efficient Multi-Scale Attention (EMA)

Efficient Multi-Scale Attention (EMA)

World Data Ocean keeps Efficient Multi-Scale Attention (EMA) in one place: one story so far. The section currently leads with “Counting shrimp with calibrated precision through enhanced acoustic detection”. Counting shrimp with calibrated precision through enhanced acoustic detection is now measurable. 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 Efficient Multi-Scale Attention (EMA) story on World Data Ocean, newest first.

Counting shrimp with calibrated precision through enhanced acoustic detection
Frontiers in Marine Science | New and Recent Articles

Counting shrimp with calibrated precision through enhanced acoustic detection

Counting shrimp with calibrated precision through enhanced acoustic detection is now measurable. Small size, dense aggregation, and background clutter have long defeated conventional models. Our improved RT-DETR framework, integrating Efficient Multi-Scale Attention, a dedicated P2 detection layer, and combined Focal-WIoU loss, achieves a mean mAP@50 of 0.844. Paired with DeepSORT tracking, automated counting reaches 83.32% accuracy across video clips. This is a validated, empirical step toward real-world intake safety monitoring.