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Related Experiment Video

Updated: Sep 20, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

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Published on: December 15, 2023

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Multi-Scale Feature Fusion Convolutional Neural Network for Indoor Small Target Detection.

Li Huang1,2, Cheng Chen1, Juntong Yun3,4

  • 1College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China.

Frontiers in Neurorobotics
|June 6, 2022
PubMed
Summary

Object detection struggles with small objects in varied indoor settings. Multi-scale feature fusion significantly improves detection accuracy, especially for small targets, balancing speed and precision.

Keywords:
SSDconvolutional neural networkindoor scenemulti-scale feature fusionsmall target detection

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Area of Science:

  • Computer Vision
  • Robotics
  • Artificial Intelligence

Background:

  • Object detection technology enables robot-environment interaction.
  • Practical applications face challenges with low detection accuracy for small and medium objects due to varied scenarios.

Purpose of the Study:

  • To enhance indoor small target detection accuracy using multi-scale feature fusion.
  • To evaluate the performance of different object detection models with this fusion technique.

Main Methods:

  • Collected diverse indoor images under various conditions (angle, light, shade).
  • Utilized image enhancement to augment the dataset.
  • Implemented multi-scale feature fusion within the Single Shot Detector (SSD) algorithm.
  • Trained Faster R-CNN, YOLOv5, SSD, and improved SSD models using transfer learning on the indoor dataset.

Main Results:

  • Multi-scale feature fusion demonstrably improved detection accuracy for all object sizes, particularly small ones.
  • The improved SSD algorithm showed a slight decrease in speed but remained faster than Faster R-CNN.
  • A better balance between detection accuracy and speed was achieved with the enhanced SSD model.

Conclusions:

  • Multi-scale feature fusion is an effective strategy for improving indoor object detection, especially for small targets.
  • The enhanced SSD algorithm offers a promising solution for achieving both high accuracy and efficient speed in real-world applications.