A survey of small object detection based on deep learning in aerial images
Sign Up to like & getrecommendations! Published in 2025 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-025-11150-9
Abstract: Small object detection poses a formidable challenge in the field of computer vision, particularly when it comes to analyzing aerial remote sensing images. Despite the rapid development of deep learning and significant progress in detection… read more here.
Keywords: detection; deep learning; object detection; small object ... See more keywords
Multi-block SSD based on small object detection for UAV railway scene surveillance
Sign Up to like & getrecommendations! Published in 2020 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2020.02.024
Abstract: Abstract A method of multi-block Single Shot MultiBox Detector (SSD) based on small object detection is proposed to the railway scene of unmanned aerial vehicle surveillance. To address the limitation of small object detection, a… read more here.
Keywords: object detection; multi block; ssd; small object ... See more keywords
Post-secondary classroom teaching quality evaluation using small object detection model
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DOI: 10.1038/s41598-024-56505-4
Abstract: The classroom video has a complex background and dense targets. This study utilizes small object detection technology to analyze and evaluate students’ behavior in the classroom, aiming to objectively and accurately assess classroom quality. Firstly,… read more here.
Keywords: detection; quality; classroom; object detection ... See more keywords
FocusDet: an efficient object detector for small object
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DOI: 10.1038/s41598-024-61136-w
Abstract: The object scale of a small object scene changes greatly, and the object is easily disturbed by a complex background. Generic object detectors do not perform well on small object detection tasks. In this paper,… read more here.
Keywords: feature; small object; object detection; feature fusion ... See more keywords
LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design
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DOI: 10.1038/s41598-025-07021-6
Abstract: Small object detection in UAV aerial images is challenging due to low contrast, complex backgrounds, and limited computational resources. Traditional methods struggle with high miss detection rates and poor localization accuracy caused by information loss,… read more here.
Keywords: detection; uav aerial; lrds yolo; object detection ... See more keywords
EFCNet for small object detection in remote sensing images
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DOI: 10.1038/s41598-025-09066-z
Abstract: Object detection, as a crucial component of remote sensing image processing, has become one of the primary methods with the maturation of deep learning technologies. Nonetheless, detecting small objects in remote sensing images remains a… read more here.
Keywords: detection; object detection; remote sensing; small objects ... See more keywords
PCPE-YOLO with a lightweight dynamically reconfigurable backbone for small object detection
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DOI: 10.1038/s41598-025-15975-w
Abstract: In the domain of object detection, small object detection remains a pressing challenge, as existing approaches often suffer from limited accuracy, high model complexity, and difficulty meeting lightweight deployment requirements. In this paper, we propose… read more here.
Keywords: detection; dynamically reconfigurable; object detection; pcpe yolo ... See more keywords
A lightweight small object detection model for UAV images based on deep semantic integration
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DOI: 10.1038/s41598-025-16878-6
Abstract: Most existing small object detection methods rely on residual blocks to process deep feature maps. However, these residual blocks, composed of multiple large-kernel convolution layers, incur high computational costs and contain redundant information, which makes… read more here.
Keywords: feature; semantic integration; small object; object detection ... See more keywords
Super Mamba feature enhancement framework for small object detection
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DOI: 10.1038/s41598-025-21837-2
Abstract: It is very challenging to accurately and timely detect small object containing dozens of pixels from infrared images. Compared with the complex background in infrared images taken by low-altitude drones, a framework is designed to… read more here.
Keywords: detection; object detection; framework; small object ... See more keywords
A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images
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DOI: 10.1038/s41598-025-92344-7
Abstract: Detecting small objects in complex remote sensing environments presents significant challenges, including insufficient extraction of local spatial information, rigid feature fusion, and limited global feature representation. In addition, improving model performance requires a delicate balance… read more here.
Keywords: object detection; remote sensing; multi scale; sma yolo ... See more keywords
An Improved Faster R-CNN for Small Object Detection
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DOI: 10.1109/access.2019.2932731
Abstract: With the increase of training data and the improvement of machine performance, the object detection method based on convolutional neural network (CNN) has become the mainstream algorithm in field of the current object detection. However,… read more here.
Keywords: object detection; faster cnn; cnn small; small object ... See more keywords