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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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YOLOX-Ray: An Efficient Attention-Based Single-Staged Object Detector Tailored for Industrial Inspections.

António Raimundo1,2, João Pedro Pavia1,3, Pedro Sebastião1,2

  • 1Instituto de Telecomunicações (IT), Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal.

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PubMed
Summary

YOLOX-Ray, a novel deep learning model, enhances industrial inspection by improving feature extraction and small object detection. This AI-driven approach offers more effective and efficient quality and safety assessments across industries.

Keywords:
YOLOX-Rayattention mechanismscomputer visiondeep learningindustrial inspectionsloss functionobject detection

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Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Industrial Engineering

Background:

  • Industrial inspection is vital for quality and safety.
  • Deep learning models show promise for inspection tasks.
  • Existing methods may struggle with multi-scale object detection in industrial settings.

Purpose of the Study:

  • To introduce YOLOX-Ray, an efficient deep learning architecture for industrial inspection.
  • To enhance feature extraction and small-scale object detection capabilities.
  • To evaluate YOLOX-Ray's performance in real-world industrial inspection scenarios.

Main Methods:

  • YOLOX-Ray architecture based on YOLO object detection.
  • Integration of SimAM attention mechanism within FPN and PAN.
  • Utilization of Alpha-IoU cost function for small object detection.

Main Results:

  • YOLOX-Ray achieved high mAP50 scores (89% to 99.6%) in hotspot, crack, and corrosion detection.
  • Significant performance on mAP50:95 metric (44.7% to 66.1%) for challenging small objects.
  • Comparative analysis confirmed the synergistic benefit of SimAM and Alpha-IoU.

Conclusions:

  • YOLOX-Ray demonstrates superior performance in multi-scale object detection for industrial inspection.
  • The combined SimAM attention and Alpha-IoU loss are crucial for optimal results.
  • YOLOX-Ray enables more effective, efficient, and sustainable industrial inspection processes.