SSP based underwater CIR estimation with S-BiFPN
ICT Express, 2022 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 ...
Jaehak Chung, Jongmin An, Hojun Lee
exaly +3 more sources
Rock Surface Crack Recognition Based on Improved Mask R-CNN with CBAM and BiFPN
BuildingsTo address the challenges of multi-scale distribution, low contrast and background interference in rock crack identification, this paper proposes an improved Mask R-CNN model (CBAM-BiFPN-Mask R-CNN) that integrates the convolutional block attention ...
Qinglong Zhang, Naifu Deng
exaly +3 more sources
Fine Segmentation of Chinese Character Strokes Based on Coordinate Awareness and Enhanced BiFPN
SensorsConsidering 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
exaly +3 more sources
A collaborative multi-attention network for real-time small object detection in UAV imagery [PDF]
Scientific ReportsTo 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
A multi-scale adaptive framework for high-precision rail track damage detection via StarNet and bidirectional feature pyramid network [PDF]
Scientific ReportsRailway 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
Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN
Ecological InformaticsAccurate identification of Tomato Yellow Leaf Curl Virus (TYLCV) is essential for ensuring the sustainability of tomato cultivation, as tomatoes are a globally important commercial crop. TYLCV manifests as stunted growth, yellowing, and curling of leaves,
Linjing Wei
exaly +3 more sources
Detection of Pear Inflorescence Based on Improved Ghost-YOLOv5s-BiFPN Algorithm
智慧农业, 2022 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 +1 more source
Research on multi object detection in mining face based on FBEC-YOLOv5s
Gong-kuang zidonghua, 2023 A multi object detection algorithm based on FBEC-YOLOv5s is proposed to address the issues of reduced detection precision caused by large object scale spans, severe obstruction between multiple objects, and harsh environments in mining faces.
ZHANG Hui, SU Guoyong, ZHAO Dongyang
doaj +1 more source
Bridge detection method for HSRRSIs based on YOLOv5 with a decoupled head
International Journal of Digital Earth, 2023 The different imaging conditions of high spatial resolution remote sensing images (HSRRSIs) tend to cause large differences in the background information of bridges from the images, including problems of difficult detection of multiscale bridges, leakage
Mulan Qiu, Liang Huang, Bo-Hui Tang
doaj +1 more source
Detection of Broken Hongshan Buckwheat Seeds Based on Improved YOLOv5s Model
Agronomy, 2023 Breeding technology is one of the necessary means for agricultural development, and the automatic identification of poor seeds has become a trend in modern breeding.
Xin Li +7 more
doaj +1 more source