[PDF][PDF] 基于卷积神经网络的热轧钢条表面实时缺陷检测
刘艳菊, 王秋霁, 赵开峰, 刘彦忠 - 仪器仪表学报, 2021 - jemi.cnjournals.com
热轧钢条的表面质量对成品至关重要, 因此必须要严格控制热轧钢条的表面出现的缺陷.
针对当前YOLOv4 算法检测精度不高, 对小范围信息表现较差等问题, 提出一种改进YOLOv4 …
针对当前YOLOv4 算法检测精度不高, 对小范围信息表现较差等问题, 提出一种改进YOLOv4 …
Spherehead: Stable 3d full-head synthesis with spherical tri-plane representation
While recent advances in 3D-aware Generative Adversarial Networks (GANs) have aided
the development of near-frontal view human face synthesis, the challenge of …
the development of near-frontal view human face synthesis, the challenge of …
A Symbol Recognition System for Single-Line Diagrams Developed Using a Deep-Learning Approach
Featured Application The present study is among the first research efforts to generate
augmented datasets of complex single-line diagrams to detect symbols using deep-learning …
augmented datasets of complex single-line diagrams to detect symbols using deep-learning …
An improved soft-YOLOX for garbage quantity identification
J Lin, C Yang, Y Lu, Y Cai, H Zhan, Z Zhang - Mathematics, 2022 - mdpi.com
Urban waterlogging is mainly caused by garbage clogging the sewer manhole covers. If the
amount of garbage at a sewer manhole cover can be detected, together with an early …
amount of garbage at a sewer manhole cover can be detected, together with an early …
Deep Learning Based Multi Pose Human Face Matching System
M Sohail, IA Shoukat, H Fatima, MR Jafri… - IEEE …, 2024 - ieeexplore.ieee.org
Current techniques for multi-pose human face matching yield suboptimal outcomes because
of the intricate nature of pose equalization and face rotation. Deep learning models, such as …
of the intricate nature of pose equalization and face rotation. Deep learning models, such as …
Fast and robust people detection in RGB images
F Dumitrescu, CA Boiangiu, ML Voncilă - Applied Sciences, 2022 - mdpi.com
People detection in images has many uses today, ranging from face detection algorithms
used by social networks to help the users tag other people, to surveillance systems that can …
used by social networks to help the users tag other people, to surveillance systems that can …
Improved YOLOv4 for pedestrian detection and counting in UAV images
H Kong, Z Chen, W Yue, K Ni - Computational intelligence and …, 2022 - Wiley Online Library
UAV (unmanned aerial vehicle) captured images have small pedestrian targets and loss of
key information after multiple down sampling, which are difficult to overcome by existing …
key information after multiple down sampling, which are difficult to overcome by existing …
Performance analysis of YOLO algorithms for real-time crowd counting
A Ranjan, N Pathare, S Dhavale… - 2022 2nd Asian …, 2022 - ieeexplore.ieee.org
Real-time head detection with counting based on crowded scenes is a very challenging and
computationally complex task in the case of lengthy surveillance videos. Existing head …
computationally complex task in the case of lengthy surveillance videos. Existing head …
Convolutional Neural Network for Head Segmentation and Counting in Crowded Retail Environment Using Top-view Depth Images
Since the emergence of big data, the popularity of deep learning models has increased and
they are being implemented in a wide range of applications, including people detection and …
they are being implemented in a wide range of applications, including people detection and …
The Analysis of Tourist Satisfaction Integrating the Artistic Intelligence Convolutional Neural Network and Internet of Things Technology
H Yan - IEEE Access, 2023 - ieeexplore.ieee.org
Aiming at the limitations of existing fire detection technology and the multi-dimensional
challenge of tourist satisfaction analysis, this study proposes a series of innovative methods …
challenge of tourist satisfaction analysis, this study proposes a series of innovative methods …