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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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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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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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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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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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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 0001 +6 more
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