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Ls Models (10) Mp4 -

Siguenos

Ls Models (10) Mp4 -

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

Published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , this paper focuses on remote sensing and landslide detection using a modified YOLOv5/v10-style architecture. Full Text Access: Available via IEEE Xplore. Full Text Access: Available via IEEE Xplore

Replaces standard loss functions to better handle small or multi-scale objects. Full Text Access: View the full paper on ResearchGate

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