Results 11 to 20 of about 2,448 (190)
BiFPN-YOLO: One-stage object detection integrating Bi-Directional Feature Pyramid Networks [PDF]
Object detection is a key component in computer vision research, allowing a system to determine the location and type of object within any given scene.
John Doherty +3 more
openaire +4 more sources
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
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
doaj +3 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
doaj +2 more sources
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
An effective ship detection approach combining lightweight networks with supervised simulation-to-reality domain adaptation [PDF]
Computer vision‐based ship detection using extensively labeled images is crucial for visual maritime surveillance. However, such data collection is labor‐intensive and time‐demanding, which hinders the practical application of newly built ship inspection
Ruixuan Liao +6 more
core +3 more sources
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
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
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
doaj +2 more sources
Fine Segmentation of Chinese Character Strokes Based on Coordinate Awareness and Enhanced BiFPN
Considering the complex structure of Chinese characters, particularly the connections and intersections between strokes, there are challenges in low accuracy of Chinese character stroke extraction and recognition, as well as unclear segmentation.
Henghui Mo, Linjing Wei
doaj +3 more sources

