Results 11 to 20 of about 1,461 (155)

Improved YOLOv10: A Real-Time Object Detection Approach in Complex Environments [PDF]

Sensors
Object detection of small and occluded targets in complex scenarios is a vital yet challenging task in computer vision, with applications in intelligent systems (e.g., kitchen safety supervision).
Qili Wu, Xin Nie
doaj   +2 more sources

Fine Segmentation of Chinese Character Strokes Based on Coordinate Awareness and Enhanced BiFPN

Sensors
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

OTB-YOLO: An Enhanced Lightweight YOLO Architecture for UAV-Based Maize Tassel Detection [PDF]

Plants
To tackle the challenges posed by substantial variations in target scale, intricate background interference, and the likelihood of missing small targets in multi-temporal UAV maize tassel imagery, an optimized lightweight detection model derived from ...
Yu Han, Xingya Wang, Luyan Niu, Song Shi, Yingbo Gao, Kuijie Gong, Xia Zhang, Jiye Zheng   +7 more
doaj   +2 more sources

EfficientMFRF-BiFPN: A CNN-Transformer Hybrid With Multi-Feature Representation Fusion for Pneumonia Detection

IEEE Access
Pneumonia remains a significant global health threat, especially in vulnerable populations, and early, accurate diagnosis is critical for effective intervention.
Kerang Cao, Kaidi Zhang, Lili Li, Hoekyung Jung   +3 more
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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, Wendong Niu, Yinxing Yan, Shixing Ma, Jianxun Huang, Yingmei Wang, Renjie Chang, Haiyan Song   +7 more
doaj   +1 more source

A traffic sign detection model based on coordinate attention - bidirectional feature pyramid network

Shenzhen Daxue xuebao. Ligong ban, 2023
In the field of autonomous driving, the correct detection of traffic signs can provide important information for environmental perception. To address the low recognition rate and misdetection and missed detection issues of various traffic signs, we ...
LANG Binke, LÜ Bin, WU Jianqing, WU Ruinian   +3 more
doaj   +1 more source

Improvement of the YOLOv5 Model in the Optimization of the Brown Spot Disease Recognition Algorithm of Kidney Bean

Plants, 2023
The kidney bean is an important cash crop whose growth and yield are severely affected by brown spot disease. Traditional target detection models cannot effectively screen out key features, resulting in model overfitting and weak generalization ability ...
Pengyan Su, Hao Li, Xiaoyun Wang, Qianyu Wang, Bokun Hao, Meichen Feng, Xinkai Sun, Zhongyu Yang, Binghan Jing, Chao Wang, Mingxing Qin, Xiaoyan Song, Lujie Xiao, Jingjing Sun, Meijun Zhang, Wude Yang   +15 more
doaj   +1 more source

Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection

Sensors, 2022
To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of existing road pit defect detection models and the practicability of detection equipment, this paper proposes a lightweight target detection algorithm with ...
Fu-Jun Du, Shuang-Jian Jiao
doaj   +1 more source