Results 11 to 20 of about 458,168 (313)
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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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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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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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
doaj +1 more source
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
doaj +1 more source
Small object detection and tracking from aerial imagery [PDF]
, 2021 Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training set of modern-day object detectors,
Aktaş, Mustafa, Ateş, Hasan Fehmi
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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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Understanding the Small Object Argument [PDF]
Applied Categorical Structures, 2008 42 pages; supersedes the earlier arXiv preprint math/0702290; v2: final journal version, minor corrections ...
openaire +3 more sources