Cluster-NMS: Improving Crowded Object Detection through Clustering Pattern

Crowded object detection is a highly challenging task in the field of object detection. One major issue is that the standard NMS algorithm encounters difficulties in crowded scenes, as it often erroneously suppresses highly overlapped predictions. In fact, if there are highly clustered bounding boxe...

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Vydáno v:	Signal, image and video processing Ročník 19; číslo 9; s. 758
Hlavní autoři:	Liao, Junguo, Tian, Haonan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.09.2025 Springer Nature B.V
Témata:	Accuracy Algorithms Boxes Clustering Computer Imaging Computer Science Confidence Datasets Image Processing and Computer Vision Multimedia Information Systems Original Paper Pattern Recognition and Graphics Pedestrians Sensors Signal,Image and Speech Processing Vision Anchor-based object detectors Crowded scenes Non-maximum suppression Object detection
ISSN:	1863-1703, 1863-1711
On-line přístup:	Získat plný text
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