Results 11 to 20 of about 2,335 (188)
Relative Position Detection of Clustered Tomatoes Based on BlendMask-BiFPN [PDF]
In robotic harvesting, maneuvering around obstacles to position manipulators is challenging, especially in unstructured environments. This study proposes a method to detect the relative position of tomato bunches to the main stem position using the ...
Caiping Guo +4 more
doaj +3 more sources
BiFPN-enhanced SwinDAT-based cherry variety classification with YOLOv8
Accurate classification of cherry varieties is crucial for their economic value and market differentiation, yet their genetic diversity and visual similarity make manual identification challenging, hindering efficient agricultural and trade practices ...
Merve Varol Arısoy, İlhan Uysal
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SAR ship detection based on improved YOLOv5 and BiFPN
Synthetic aperture radar (SAR) is an advanced microwave sensor widely used in ocean monitoring, whose operation is not affected by light and weather. Ship targets in SAR images contain characteristically unclear contour information, a complex background,
Chushi Yu, Yoan Shin
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The kidney bean is an important cash crop whose growth and yield are severely affected by brown spot disease. Traditional target detection models cannot effectively screen out key features, resulting in model overfitting and weak generalization ability ...
Pengyan Su +15 more
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To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of existing road pit defect detection models and the practicability of detection equipment, this paper proposes a lightweight target detection algorithm with ...
Fu-Jun Du, Shuang-Jian Jiao
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GS-BiFPN-YOLO: A Lightweight and Efficient Method for Segmenting Cotton Leaves in the Field
Instance segmentation of cotton leaves in complex field environments presents challenges including low accuracy, high computational complexity, and costly data annotation. This paper presents GS-BiFPN-YOLO, a lightweight instance segmentation method that
Weiqing Wu, Liping Chen
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Construction worker hardhat-wearing detection based on an improved BiFPN
Work in the construction site is considered to be one of the occupations with the highest safety risk factor. Therefore, safety plays an important role in construction site. One of the most fundamental safety rules in construction site is to wear a hardhat.
Chenyang Zhang +4 more
openaire +3 more sources
MM-BiFPN: Multi-Modality Fusion Network With Bi-FPN for MRI Brain Tumor Segmentation
For medical imaging tasks, it is a prevalent practice to have a multi-modality image dataset, as experts prefer using multiple medical devices to diagnose a disease.
Nur Suriza Syazwany +2 more
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Research on Object Detection and Recognition Method for UAV Aerial Images Based on Improved YOLOv5
In this paper, an object detection and recognition method based on improved YOLOv5 is proposed for application on unmanned aerial vehicle (UAV) aerial images.
Heng Zhang +5 more
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Enhanced YOLOv8 with BiFPN and MHSA for traffic vehicle detection
Accurately detecting vehicles in urban traffic scenarios is a complex task, especially when dealing with cluttered backgrounds, diverse object scales, and high vehicle density. In this study, we propose an improved YOLOv8-based model tailored for vehicle
Ngo Truong An +2 more
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