Results 11 to 20 of about 2,016 (190)

Rock Surface Crack Recognition Based on Improved Mask R-CNN with CBAM and BiFPN

Buildings
To 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 ...
Naifu Deng, Qinglong Zhang
exaly   +4 more sources

Enhanced YOLOv8 with BiFPN-SimAM for Precise Defect Detection in Miniature Capacitors

Applied Sciences (Switzerland)
In the domain of automatic visual inspection for miniature capacitor quality control, the task of accurately detecting defects presents a formidable challenge. This challenge stems primarily from the small size and limited sample availability of defective micro-capacitors, which leads to issues such as reduced detection accuracy and increased false ...
Zhihua Zhou, Chunming Gao
exaly   +4 more sources

Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN

Ecological Informatics
Accurate 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   +4 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   +3 more sources

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   +2 more sources

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   +2 more sources

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   +2 more sources

Research on Object Detection and Recognition Method for UAV Aerial Images Based on Improved YOLOv5

Drones, 2023
In this paper, an object detection and recognition method based on improved YOLOv5 is proposed for application on unmanned aerial vehicle (UAV) aerial images.
Heng Zhang, Faming Shao, Xiaohui He, Zihan Zhang, Yonggen Cai, Shaohua Bi   +5 more
doaj   +2 more sources

Automatic detection of brown hens in cage-free houses with deep learning methods

Poultry Science, 2023
: Computer vision technologies have been tested to monitor animals’ behaviors and performance. High stocking density and small body size of chickens such as broiler and cage-free layers make effective automated monitoring quite challenging. Therefore, it
Yangyang Guo, Prafulla Regmi, Yi Ding, Ramesh Bahadur Bist, Lilong Chai   +4 more
doaj   +2 more sources

Research on Online Listening Behavior Recognition Model Based on Improved YOLOv8 Algorithm [PDF]

Jisuanji gongcheng
Target detection technology is advancing, but recognizing online listening behavior remains a challenge. Inaccurate identification of online classroom conduct and high model computation owing to limited human supervision and complex target detection ...
LI Mengkun, YUAN Chen, WANG Qi, ZHAO Chong, CHEN Jingxuan, LIU Lifeng
doaj   +2 more sources