Results 11 to 20 of about 832,071 (273)
Small Object Detection and Tracking: A Comprehensive Review
Sensors, 2023 Object detection and tracking are vital in computer vision and visual surveillance, allowing for the detection, recognition, and subsequent tracking of objects within images or video sequences.
Behzad Mirzaei +3 more
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Dataset for small object detection with shadow (SODwS). [PDF]
Data BriefDetecting small objects in aerial images poses several challenges, including issues with resolution limitations, scale variability, background clutter, and object occlusion. Annotated datasets for small objects in aerial images are often scarce, complicating the training and validation of detection models.
Mat-Desa S +8 more
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SwinVision: Detecting Small Objects in Low-Light Environments
IEEE AccessNeural networks have been widely employed in the field of object detection. Transformers enable effective object detection through global context awareness, modular design, scalability, and adaptability to diverse target scales.
Tao Dai +3 more
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Improving small objects detection using transformer [PDF]
Journal of Visual Communication and Image Representation, 2021 General artificial intelligence is a trade-off between the inductive bias of an algorithm and its out-of-distribution generalization performance. The conspicuous impact of inductive bias is an unceasing trend of improved predictions in various problems in computer vision like object detection.
Moongu Jeon +3 more
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Survey of One-Stage Small Object Detection Methods in Deep Learning [PDF]
Jisuanji kexue yu tansuo, 2022 With the development of deep learning, object detection technology has gradually changed from traditional manual detection methods to deep neural network detection methods.
LI Kecen, WANG Xiaoqiang, LIN Hao, LI Leixiao, YANG Yanyan, MENG Chuang, GAO Jing
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Small Object Detection Based on Deep Convolutional Neural Networks:A Review [PDF]
Jisuanji kexue, 2022 Small object detection has long been one of the most challenging problems in computer vision.Since small objects have the characteristics of small coverage area,low resolution,and lack of feature information,their detection effect is not ideal compared ...
DU Zi-wei, ZHOU Heng, LI Cheng-yang, LI Zhong-bo, XIE Yong-qiang, DONG Yu-chen, QI Jin
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Transformer Object Detection Algorithm Based on Multi-granularity [PDF]
Jisuanji kexue, 2023 Different from other scale objects,small objects have the characteristics of carrying less semantic information and a small number of training samples.Therefore,the current object detection algorithm has the problem of low detection accuracy for small ...
XU Fang, MIAO Duoqian, ZHANG Hongyun
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Small Object Detection in 3D Urban Scenes [PDF]
Jisuanji kexue, 2022 3D object detection is the core of semantic analysis in 3D urban scenes,but the existing object detection methods mainly focus on large objects such as buildings and roads,while the detection accuracy of these methods for small objects such as street ...
CHEN Jia-zhou, ZHAO Yi-bo, XU Yang-hui, MA Ji, JIN Ling-feng, QIN Xu-jia
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Small Object Detection Based on Improved YOLOv7 [PDF]
Jisuanji gongcheng, 2023 Despite advancements in object detection technology, Small Object Detection(SOD) is still difficult to research.To address the challenge of easily missing detection in the process of object detection, this study proposes an improved YOLOv7 object ...
QI Linglong, GAO Jianling
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Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
Remote Sensing, 2023 With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
Xuan Wang +4 more
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