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Oumayma Rachidi

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Open access Aug 2026

Enhancing pedestrian detection in adverse conditions using YOLOv5s with adaptive weighted fusion efficient channel attention module

An enhanced pedestrian detection framework based on you only look one version 5 (YOLOv5s), retrained on an augmented common object in context (COCO) dataset focused on the person class is introduced, demonstrating the efficacy of the proposed attention module in improving detection robustness under challenging environm...

Oumayma Rachidi, Badr Bououlid Idrissi, Chafik Ed-dahmani · 0 citations

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