Results 41 to 50 of about 11,183,951 (361)
A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images
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.
Shilong Zhou, Haijin Zhou, Lei Qian
semanticscholar +1 more source
Object detection in high-resolution remote sensing image (HRRSI) faces great challenges of large-scale variations in object size, densely distributed small objects, and complex background interferences.
Qinggang Wu +3 more
doaj +1 more source
UAV Image Small Object Detection Based on RSAD Algorithm
There are many small objects in UAV images, and the object scale varies greatly. When the SSD algorithm detects them, the backbone network’s feature extraction capabilities are poor; it does not fully utilize the semantic information in the deeper ...
Jian Song +5 more
doaj +1 more source
HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection [PDF]
Infrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few pixels. However, it encounters difficulties due to the diminutive size of
Shibiao Xu +8 more
semanticscholar +1 more source
Fire-RPG: An Urban Fire Detection Network Providing Warnings in Advance
Urban fires are characterized by concealed ignition points and rapid escalation, making the traditional methods of detecting early stage fire accidents inefficient.
Xiangsheng Li, Yongquan Liang
doaj +1 more source
To solve the problem of low detection accuracy of small objects in UAV optical remote sensing images due to low contrast, dense distribution, and weak features, this paper proposes a small object detection method based on feature alignment of candidate ...
Jinkang Wang +3 more
doaj +1 more source
Vehicle detection based on unmanned aerial vehicle (UAV) aerial images plays a significant role in areas such as traffic monitoring and management, disaster relief, and more, garnering extensive attention from researchers in recent years.
Mian Pan +5 more
doaj +1 more source
A survey of small object detection based on deep learning in aerial images
Small object detection poses a formidable challenge in the field of computer vision, particularly when it comes to analyzing aerial remote sensing images.
Wei Hua, Qili Chen
semanticscholar +1 more source
Multi-View Object Detection Based on Deep Learning
A multi-view object detection approach based on deep learning is proposed in this paper. Classical object detection methods based on regression models are introduced, and the reasons for their weak ability to detect small objects are analyzed. To improve
Cong Tang +4 more
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SF-YOLOv5: A Lightweight Small Object Detection Algorithm Based on Improved Feature Fusion Mode
In the research of computer vision, a very challenging problem is the detection of small objects. The existing detection algorithms often focus on detecting full-scale objects, without making proprietary optimization for detecting small-size objects. For
Haiying Liu +3 more
doaj +1 more source

