Results 11 to 20 of about 2,715,607 (290)
Agriculture, 2022 In precision agriculture, effective monitoring of corn pest regions is crucial to developing early scientific prevention strategies and reducing yield losses.
Wei Zhang +5 more
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Aggregation Signature for Small Object Tracking [PDF]
IEEE Transactions on Image Processing, 2020 Small object tracking becomes an increasingly important task, which however has been largely unexplored in computer vision. The great challenges stem from the facts that: 1) small objects show extreme vague and variable appearances, and 2) they tend to be lost easier as compared to normal-sized ones due to the shaking of lens. In this paper, we propose
Chunlei Liu +6 more
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An Anchor-Free Lightweight Object Detection Network
IEEE Access, 2023 Existing anchor-free object detection methods have achieved some amazing results, but these methods are relatively complex and the inference speed is also slow. In this paper, an anchor-free lightweight object detection network is proposed.
Weina Wang, Yunyan Gou
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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, Tiasa Mondol
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Small Object Recognition Algorithm of Grain Pests Based on SSD Feature Fusion
IEEE Access, 2021 The detection of grain pests is of great significance to grain storage. However, in practice, because the size of grain insects is too small to identify.
Zongwang Lyu +4 more
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Remote Sensing, 2021 The detection of elongated objects, such as ships, from satellite images has very important application prospects in marine transportation, shipping management, and many other scenarios.
Zheng He +5 more
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Image Semantic Segmentation Fusion of Edge Detection and AFF Attention Mechanism
Applied Sciences, 2022 Deep learning has been widely used in various fields because of its accuracy and efficiency. At present, the improvement of image semantic segmentation accuracy has become the area of most concern.
Yijie Jiao +3 more
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Magnetoquasistatic resonances of small dielectric objects [PDF]
Physical Review Research, 2020 A small dielectric object with positive permittivity may resonate when the free-space wavelength is large in comparison with the object dimensions if the permittivity is sufficiently high. We show that these resonances are described by the magnetoquasistatic approximation of the Maxwell's equations in which the normal component of the displacement ...
Carlo Forestiere +6 more
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Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In recent years, despite the tremendous progresses of object detection, small object detection has always been a challenge in the field of remote sensing. The main reason is that small objects cover few features that are easily lost during down-sampling.
Yangyang Li +5 more
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Efficient YOLOv7-Drone: An Enhanced Object Detection Approach for Drone Aerial Imagery
Drones, 2023 In recent years, the rise of low-cost mini rotary-wing drone technology across diverse sectors has emphasized the crucial role of object detection within drone aerial imagery.
Xiaofeng Fu +4 more
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