Ls Models (10) Mp4 May 2026

Available for request or viewing on ResearchGate .

Reduces parameters and FLOPs while maintaining feature extraction quality.

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. Ls Models (10) mp4

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: Available for request or viewing on ResearchGate

Replaces standard loss functions to better handle small or multi-scale objects.

Based on your search for "LS Models (10)", there are several recent publications that match this technical profile: While based on YOLOv8, this "LS" (Lightweight and

Integrated into the neck or head of the network to capture global context without the heavy computational cost of standard transformers.