Results 71 to 80 of about 2,016 (190)
Research on Multi-Scale Pest Detection and Identification Method in Granary Based on Improved YOLOv5
, 2023 Accurately detecting and identifying granary pests is important in effectively controlling damage to a granary, ensuring food security scientifically and efficiently. In this paper, multi-scale images of seven common granary pests were collected.
Jinyu Chu +4 more
core +1 more source
Convolutional Feature Enhancement and Attention Fusion BiFPN for Ship Detection in SAR Images
CoRRSynthetic Aperture Radar (SAR) enables submeter-resolution imaging and all-weather monitoring via active microwave and advanced signal processing. Currently, SAR has found extensive applications in critical maritime domains such as ship detection. However, SAR ship detection faces several challenges, including significant scale variations among ships ...
Liangjie Meng +4 more
openaire +2 more sources
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.The reliability of smart transmission systems critically depends on the rapid and accurate detection and localization of faults. However, existing approaches face inherent limitations; thus, traveling‐wave (TW) methods offer high localization accuracy but require stringent measurement conditions, while data‐driven models provide robustness but may ...
Felix Ghislain Yem Souhe +5 more
wiley +1 more source
Underwater Biological Detection Algorithm Based on Improved Faster-RCNN
, 2021 Underwater organisms are an important part of the underwater ecological environment. More and more attention has been paid to the perception of underwater ecological environment by intelligent means, such as machine vision.
Weisheng Huang +5 more
core +1 more source
A BiFPN-SECA Detection Network for Foreign Objects on Top of Railway Freight Vehicles
Signal, Image and Video ProcessingAbstract Foreign object detection on top of railway freight vehicles is critical to ensuring the safety and efficiency railway transportation. However, this task faces major challenges such as low accuracy and potential false positives and false negatives.
Sheng Liu, Yiqing Yang, Ting Cao, Yi Zhu
openaire +1 more source
To address challenges in the detection of wind turbine blade damage images, characterized by complex backgrounds and multiscale feature distribution, we propose a method based on an enhanced YOLOV8 model. Our approach focuses on three key aspects: First,
Jianguo Wang +4 more
core +1 more source
The DCN-BiFPN Object Detection Algorithm based on YOLOv8
Abstract Aiming at the problems of traditional target detection algorithms such as high demand for model equipment, low detection accuracy, high leakage rate of overlapping targets, and repeated detection of the same target, we propose an improved multilayer deformable convolution as well as a method for fusing attention mechanisms, and use ...
Bo Yu +4 more
openaire +1 more source
VB-SOLO: Single-Stage Instance Segmentation of Overlapping Epithelial Cells
IEEE AccessThe instance segmentation of overlapping cells in smear images of epithelial cells is challenging due to the significant overlap and adhesion between the cells’ translucent cytoplasm.
Lichuan Li, Wei Chen, Jie Qi
doaj +1 more source
Cucumber Picking Recognition in Near-Color Background Based on Improved YOLOv5
, 2023 Rapid and precise detection of cucumbers is a key element in enhancing the capability of intelligent harvesting robots. Problems such as near-color background interference, branch and leaf occlusion of fruits, and target scale diversity in greenhouse ...
Linjie Wang +6 more
core +1 more source
The FPN, PAN, and BiFPN network structure: (a) FPN; (b) PAN; (c) BiFPN.
Danya Zhang (15309566) +3 more
core +1 more source