While based on YOLOv8, this "LS" (Lightweight and Scalable) variant is highly cited for its use of Multi-Scale Ghost Convolution (MSGConv) and efficiency gains of up to 55% FPS. Full Text Access: View the full paper on ResearchGate . Key Technical Features of LS-Models
In these "Lightweight" (LS) models, the following components are typically highlighted in the full papers: Ls Models (10) mp4
This paper introduces a lightweight model designed for underwater vehicles, utilizing Region Scaling (RS) loss and self-attention mechanisms to improve small-object detection in complex environments. While based on YOLOv8, this "LS" (Lightweight and
Available for request or viewing on ResearchGate . While based on YOLOv8