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Research on a Lightweight Small Object Detection Method Based on Lite-RFB Modules Cover

Research on a Lightweight Small Object Detection Method Based on Lite-RFB Modules

By: Fei Wang and  Liping Lu  
Open Access
|Dec 2025

Figures & Tables

Figure 1.

SSD Network Architecture

Figure 2.

RFB Model Diagram

Figure 3.

MobileNet-SSD Model Diagram

Figure 4.

Experimental Workflow Diagram

Figure 5.

Experimental Results Comparison

Figure 6.

Test Set Training Figure

Experimental Environment Configuration

ParameterConfiguration
CPUIntel® Core™ i9-14900KF 3.20 GHz
GPUNVIDIA GeForce RTX 5080
Memory256GB
Graphics Memory1.82TB
System Environment64-bit operating system
Experimental PlatformPyTorch 2.1, Python 3.8, PyCharm
Acceleration EnvironmentCUDA 12.1

Object Categories in the VOC

VehiclesHouseholdAnimalsOthers
AeroplaneBottleBirdPerson
BicyleChairCat
BoatDining tableCow
CarPotted plantDog
MotorbikeSofaHorse
TrainTV/MonitorSheep
Language: English
Page range: 94 - 103
Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Fei Wang, Liping Lu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.