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.
Linjing Wei, Wei Linjing
exaly +6 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 +2 more
exaly +4 more sources
Target detection for remote sensing based on the enhanced YOLOv4 with improved BiFPN
To solve problems for false detection, inadequate regression performance of anchor frames, and the inability to detect small targets in traditional multiscale target detection methods based on YOLOv4, we propose a novel target detection framework named as Enhanced YOLOv4.
Fuzhen Zhu, Jingyi Cui
exaly +4 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 +4 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 +4 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 +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 +3 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
doaj +2 more sources
Novel Recursive BiFPN Combining with Swin Transformer for Wildland Fire Smoke Detection
The technologies and models based on machine vision are widely used for early wildfire detection. Due to the broadness of wild scene and the occlusion of the vegetation, smoke is more easily detected than flame. However, the shapes of the smoke blown by the wind change constantly and the smoke colors from different combustors vary greatly.
Ao Li, Yaqin Zhao, Zhao Yaqin
exaly +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

