Results 291 to 300 of about 1,485,416 (350)

Attentional feature pyramid network for small object detection

Neural Networks, 2022
Recent state-of-the-art detectors generally exploit the Feature Pyramid Networks (FPN) due to its advantage of detecting objects at different scales. Despite significant advances in object detection owing to the design of feature pyramids, it is still challenging to detect small objects with low resolution and dense distribution in complex scenes.
Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee   +2 more
openaire   +2 more sources

SOD-YOLOv10: Small Object Detection in Remote Sensing Images Based on YOLOv10

IEEE Geoscience and Remote Sensing Letters
YOLOv10, known for its efficiency in object detection methods, quickly and accurately detects objects in images. However, when detecting small objects in remote sensing imagery, traditional algorithms often encounter challenges like background noise ...
Hui Sun, Guangzhen Yao, Sandong Zhu, Long Zhang, Hui Xu, Jun Kong   +5 more
semanticscholar   +1 more source

Small Object Detection Based on RVR

Proceedings of the 2017 International Conference on Robotics and Artificial Intelligence, 2017
In the visual robotics area, we should dope out a solution to detect small objects. We need to explore much more precise detection methods to achieve better performance. In this paper, a small object detection method based on the Relevance Vector Regression (RVR) is proposed.
Ruiming Liu, Yong Liu, Jiawei Huang
openaire   +1 more source

A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
Although great progress has been made in generic object detection by advanced deep learning techniques, detecting small objects from images is still a difficult and challenging problem in the field of computer vision due to the limited size, less ...
Guang Chen, Haitao Wang, Kai Chen, Zhijun Li, Zida Song, Yinlong Liu, Wenkai Chen, Alois Knoll   +7 more
semanticscholar   +1 more source

Context-Aware Block Net for Small Object Detection

IEEE Transactions on Cybernetics, 2022
State-of-the-art object detectors usually progressively downsample the input image until it is represented by small feature maps, which loses the spatial information and compromises the representation of small objects. In this article, we propose a context-aware block net (CAB Net) to improve small object detection by building high-resolution and ...
Lisha Cui, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, Mingliang Xu   +7 more
openaire   +2 more sources

FFCA-YOLO for Small Object Detection in Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Issues, such as insufficient feature representation and background confusion, make detection tasks for small object in remote sensing arduous. Particularly, when the algorithm will be deployed on board for real-time processing, which requires extensive ...
Yin Zhang, Mu Ye, Guiyi Zhu, Yong Liu, Pengyu Guo, Junhua Yan   +5 more
semanticscholar   +1 more source

YOLOv8-QSD: An Improved Small Object Detection Algorithm for Autonomous Vehicles Based on YOLOv8

IEEE Transactions on Instrumentation and Measurement
As self-driving vehicles become more prevalent, the speed and accuracy of detecting surrounding objects through onboard sensing technology have become increasingly important.
Hai Wang, Chenyu Liu, Yingfeng Cai, Long Chen, Yicheng Li   +4 more
semanticscholar   +1 more source

MFFSODNet: Multiscale Feature Fusion Small Object Detection Network for UAV Aerial Images

IEEE Transactions on Instrumentation and Measurement
Unmanned aerial vehicle (UAV) aerial image object detection is a valuable and challenging research field. Despite the breakthrough of deep learning-based object detection networks in natural scenes, UAV images often exhibit characteristics such as a high
Lin Jiang, Baoxi Yuan, Jiawei Du, Boyu Chen, Hanfei Xie, Juan Tian, Ziqi Yuan   +6 more
semanticscholar   +1 more source

High-Resolution Feature Pyramid Network for Small Object Detection on Drone View

IEEE transactions on circuits and systems for video technology (Print)
Object detection has developed rapidly with the help of deep learning technologies recent years. However, object detection on drone view remains challenging due to two main reasons: (1) It is difficult to detect small-scale objects lacking detailed ...
Zhaodong Chen, Hongbing Ji, Yongquan Zhang, Zhigang Zhu, Yifan Li   +4 more
semanticscholar   +1 more source

Yolo-tla: An Efficient and Lightweight Small Object Detection Model based on YOLOv5

Journal of Real-Time Image Processing
Object detection, a crucial aspect of computer vision, has seen significant advancements in accuracy and robustness. Despite these advancements, practical applications still face notable challenges, primarily the inaccurate detection or missed detection ...
Peng Gao, Chun-Lin Ji, Tao Yu, Ruyue Yuan   +3 more
semanticscholar   +1 more source