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Research on Small Target Detection Technology Based on the MPH-SSD Algorithm.

Qingyao Lin1, Su Li1, Rugang Wang1

  • 1School of Information Technology, Yancheng Institute of Technology, Yancheng 224051, China.

Computational Intelligence and Neuroscience
|December 8, 2022
PubMed
Summary
This summary is machine-generated.

The Multiscale Pyramid Hybrid Single Shot Multibox Detector (MPH-SSD) algorithm improves small target detection by enhancing semantic information and measurement accuracy. This novel approach offers better performance for identifying small objects in complex scenes.

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Area of Science:

  • Computer Vision
  • Machine Learning
  • Deep Learning

Background:

  • Single Shot Multibox Detector (SSD) algorithms often struggle with detecting small targets due to limited semantic information and low measurement accuracy.
  • Existing methods lack effective feature fusion and context information transfer for small object detection.

Purpose of the Study:

  • To propose a novel Multiscale Pyramid Hybrid Single Shot Multibox Detector (MPH-SSD) algorithm.
  • To enhance semantic information and measurement accuracy for improved small target detection.

Main Methods:

  • Integrating an attention mechanism and multiscale double pyramid feature enhancement into the SSD algorithm.
  • Employing a shallow feature enhancement module to expand receptive fields and enrich semantic information.
  • Utilizing a cascaded double pyramid structure for effective inter-layer context transfer.
  • Implementing a hybrid attention mechanism to retain context and reduce background interference.

Main Results:

  • The MPH-SSD algorithm achieved mean Average Precision (mAP) scores of 87.7% on the Pascal VOC dataset and 51.1% on the MS COCO dataset.
  • Demonstrated improved utilization of shallow feature information for small target detection.
  • Showcased enhanced detection performance for small targets compared to standard SSD.

Conclusions:

  • The proposed MPH-SSD algorithm effectively addresses the limitations of traditional SSD for small target detection.
  • The integration of feature enhancement and attention mechanisms significantly boosts detection accuracy and semantic richness.
  • MPH-SSD offers a promising solution for accurate and robust small object detection in computer vision applications.