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A multi-scale small object detection framework for tomato leaf pest and disease detection in complex natural environments [PDF]
Frontiers in Plant ScienceIntroductionThis paper proposes an improved detection framework, PLD-YOLO, to address the challenges of small object scale, strong background interference, and loss of shallow feature information during feature extraction in pest and disease detection ...
Rui Gao +7 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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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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Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network
Frontiers in Plant Science, 2020 Tomato is affected by various diseases and pests during its growth process. If the control is not timely, it will lead to yield reduction or even crop failure.
Jun Liu, Xuewei Wang
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Sensors, 2023 Bounding box regression is a crucial step in object detection, directly affecting the localization performance of the detected objects. Especially in small object detection, an excellent bounding box regression loss can significantly alleviate the ...
Delong Cai, Zhaoyun Zhang, Zhi Zhang
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