Results 1 to 10 of about 1,461 (155)
SSP based underwater CIR estimation with S-BiFPN
In underwater sensor networks (USN), channel impulse response (CIR) estimation based on sound speed profile (SSP) ensures link reliability. We propose a separate bi-directional feature pyramid network (S-BiFPN) that estimates the CIR using deep learning ...
Seunghwan Seol +4 more
doaj +2 more sources
Detection of Pear Inflorescence Based on Improved Ghost-YOLOv5s-BiFPN Algorithm
Mechanized and intelligent flower thinning is a high-speed flower thinning method nowadays. The classification and detection of flowers and flower buds are the basic requirements to ensure the normal operation of the flower thinning machine.
XIA Ye +7 more
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MM-BiFPN: Multi-Modality Fusion Network With Bi-FPN for MRI Brain Tumor Segmentation [PDF]
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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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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A collaborative multi-attention network for real-time small object detection in UAV imagery [PDF]
To address the challenges of detecting small objects in unmanned aerial vehicle (UAV) imagery, such as weak feature representation, complex background interference, and high real-time requirements, this paper proposes a Collaborative Multi-Attention ...
Jianxiu Yang, Xiangmei Yue, Liang Wu
doaj +2 more sources
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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Relative Position Detection of Clustered Tomatoes Based on BlendMask-BiFPN
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 +2 more sources
Due to the influence of mechanical vibration, high temperature creep and other factors, Si 3 N 4 turbine blades are prone to surface defects. Besides, traditional algorithms are incapable to detect and classify surface defects simultaneously.
Dahai Liao +6 more
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A multi-scale adaptive framework for high-precision rail track damage detection via StarNet and bidirectional feature pyramid network [PDF]
Railway tracks are prone to damage after long-term exposure to harsh environments, posing risks to transportation safety. Traditional manual inspection is inefficient and error-prone, while existing deep learning–based detection models, such as YOLO ...
Yanzhi Pang +10 more
doaj +2 more sources
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
doaj +2 more sources

