Results 1 to 10 of about 5,295 (214)
IVP-YOLOv5: an intelligent vehicle-pedestrian detection method based on YOLOv5s
Connection Science, 2023 Computer vision is now vital in intelligent vehicle environment perception systems. However, real-time small-scale pedestrian detection in intelligent vehicle environment perception systems is still needs to be improved.
Yang Sun +5 more
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Lightweight Human Ear Recognition Based on Attention Mechanism and Feature Fusion
Applied Sciences, 2023 With the development of deep learning technology, more and more researchers are interested in ear recognition. Human ear recognition is a biometric identification technology based on human ear feature information and it is often used for authentication ...
Yanmin Lei +3 more
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YOLOv5s-SA: Light-Weighted and Improved YOLOv5s for Sperm Detection
Diagnostics, 2023 Sperm detection performance is particularly critical for sperm motility tracking. However, there are a large number of non-sperm objects, sperm occlusion and poorly detailed texture features in semen images, which directly affect the accuracy of sperm detection.
Ronghua Zhu +6 more
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MT-YOLOv5: Mobile terminal table detection model based on YOLOv5 [PDF]
Journal of Physics: Conference Series, 2021 Abstract Table detection is an important task of optical character recognition(OCR). At present, table detection for desktop applications has basically reached commercial requirements. With the advancement of informatization, personal demand for table detection has gradually increased.
Zixin Ning +3 more
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Research on coal and gangue detection algorithm based on improved YOLOv5s model
Gong-kuang zidonghua, 2021 In order to solve the problems of slow detection speed and low detection precision of the existing deep learningbased coal and gangue target detection methods, an improved YOLOv5s model is proposed and applied to coal and gangue target detection.
SHEN Ke1,2 +3 more
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YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s
Sensors, 2023 Due to the challenges of small detection targets, dense target distribution, and complex backgrounds in aerial images, existing object detection algorithms perform poorly in aerial image detection tasks. To address these issues, this paper proposes an improved algorithm called YOLOv5s-DSD based on YOLOv5s.
Chaoyue Sun +4 more
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Frontiers in Plant Science, 2023 An improved YOLOv5s model was proposed and validated on a new fruit dataset to solve the real-time detection task in a complex environment. With the incorporation of feature concatenation and an attention mechanism into the original YOLOv5s network, the ...
Olarewaju Mubashiru Lawal +2 more
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GRP-YOLOv5: An Improved Bearing Defect Detection Algorithm Based on YOLOv5
Sensors, 2023 Currently, most chemical transmission equipment relies on bearings to support rotating shafts and to transmit power. However, bearing defects can lead to a series of failures in the equipment, resulting in reduced production efficiency. To prevent such occurrences, this paper proposes an improved bearing defect detection algorithm based on YOLOv5 ...
Yue Zhao +5 more
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YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection
Sensors, 2022 In response to the dangerous behavior of pedestrians roaming freely on unsupervised train tracks, the real-time detection of pedestrians is urgently required to ensure the safety of trains and people. Aiming to improve the low accuracy of railway pedestrian detection, the high missed-detection rate of target pedestrians, and the poor retention of non ...
Haohui Lv +4 more
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Gong-kuang zidonghua, 2023 Due to complex environmental factors such as uneven illumination and high noise, unmanned electric locomotives in coal mines have low accuracy in multi object detection and difficulty in recognizing small objects.
ZHAO Wei, WANG Shuang, ZHAO Dongyang
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