Results 11 to 20 of about 11,183,951 (361)
FocusDet: an efficient object detector for small object
Scientific ReportsThe 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, we focus on small object detection based on
Yanli Shi, Yi Jia, Xianhe Zhang
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Small Object Localization with 90% Annotation Reduction by Positive-Unlabeled Learning [PDF]
MicromachinesSmall object localization is one of the most challenging tasks owing to the poor visual appearance and noisy representation caused by the intrinsic structure of small targets. Recent advances in localizing small objects are mainly dependent on regression-
Xiao Zhou +6 more
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SeaLSOD-YOLO: A Lightweight Framework for Maritime Small Object Detection Using YOLOv11 [PDF]
SensorsMaritime small object detection is critical for UAV-based sea surveillance but remains challenging due to the small size of targets and interference from sea reflections and waves. This paper proposes SeaLSOD-YOLO, a lightweight detection algorithm based
Jinjia Ruan, Jin He, Yao Tong
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On the Problem of Small Objects [PDF]
Entropy, 2021 We discuss how to assess computationally the aesthetic value of “small” objects, namely those that have short digital descriptions. Such small objects still matter: they include headlines, poems, song lyrics, short musical scripts and other culturally crucial items.
Daniel G. Brown 0001, Tiasa Mondol
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UIU-Net: U-Net in U-Net for Infrared Small Object Detection [PDF]
IEEE Transactions on Image Processing, 2022 Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability limitations as the network depth increases.
Xin Wu, D. Hong, J. Chanussot
semanticscholar +1 more source
Knowledge-Assisted Small Object Detection
Small Object Detection (SOD) is a challenging task due to the small size of objects and the complexity of noisy backgrounds, which are common in fields like surveillance and autonomous driving.
Le Hoang Duong +3 more
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LEAD-YOLO: A Lightweight and Accurate Network for Small Object Detection in Autonomous Driving [PDF]
SensorsThe accurate detection of small objects remains a critical challenge in autonomous driving systems, where improving detection performance typically comes at the cost of increased model complexity, conflicting with the lightweight requirements of edge ...
Yunchuan Yang, Shubin Yang, Qiqing Chan
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Towards Large-Scale Small Object Detection: Survey and Benchmarks [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 With the rise of deep convolutional neural networks, object detection has achieved prominent advances in past years. However, such prosperity could not camouflage the unsatisfactory situation of Small Object Detection (SOD), one of the notoriously ...
Gong Cheng +5 more
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Spatiotemporal tubelet feature aggregation and object linking for small object detection in videos [PDF]
, 2022 This paper addresses the problem of exploiting spatiotemporal information to improve small object detection precision in video. We propose a two-stage object detector called FANet based on short-term spatiotemporal feature aggregation and long-term ...
Mucientes Molina, Manuel Felipe +2 more
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智慧农业, 2022 Objects in farmlands often have characteristic of small volume and high density with variable light and complex background, and the available object detection models could not get satisfactory recognition results.
GUO Xiuming +5 more
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