Suchergebnisse - Deep Learning based sign detection algorithms

UCN-YOLOv5: Traffic Sign Object Detection Algorithm Based on Deep Learning von Liu, Peilin, Xie, Zhaoyang, Li, Taijun

“… In view of the complex and changeable environment and detection accuracy of traffic sign detection, this paper proposes UCN-YOLOv5 model based on the framework of YOLOv5 …”
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Research on traffic sign detection algorithm based on deep learning von Wang, Quan, Fu, Weiping

“… by the interconnection of closed‐loop traffic signs. This paper proposes a traffic sign detection algorithm based on deep learning …”
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PSG-Yolov5: A Paradigm for Traffic Sign Detection and Recognition Algorithm Based on Deep Learning von Hu, Jie, Wang, Zhanbin, Chang, Minjie, Xie, Lihao, Xu, Wencai, Chen, Nan

“… In this paper, we propose a traffic sign detection and recognition paradigm based on deep learning algorithms …”
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Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review von Chen, Hui, Ali, Mohammed A.H., Nukman, Yusoff, Razak, Bushroa Abd, Turaev, Sherzod, Chen, YiHan, Zhang, Shikai, Huang, Zhiwei, Wang, Zhenya, Abdulghafor, Rawad

“… •Hybrid algorithms for Traffic Sign detection are thoroughly reviewed.•A deep learning is analyzed using regression, segmentation, and hybrid methods …”
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LLTH-YOLOv5: A Real-Time Traffic Sign Detection Algorithm for Low-Light Scenes von Sun, Xiaoqiang, Liu, Kuankuan, Chen, Long, Cai, Yingfeng, Wang, Hai

“… Traffic sign detection is a crucial task for autonomous driving systems. However, the performance of deep learning-based algorithms for traffic sign detection is highly affected by the illumination conditions of scenarios …”
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A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid von Li, Yuqi, Wang, Zijian, Zhang, Han, Yao, Xinpeng, Zhou, Zhou, Cheng, Xin

“… Traffic sign detection is essential to an intelligent driving assistance system. The deep learning‐based algorithm proposed in this paper aims to address …”
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Attention-Enhanced One-Stage Algorithm for Traffic Sign Detection and Recognition von Huang, He, Liang, Qice, Luo, Dean, Lee, Dong Ha

“… Traditional detection and recognition methods no longer meet today’s needs, and object recognition algorithms based on deep learning have become the mainstream solution …”
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Retrospective analysis of the effect on interval cancer rate of adding an artificial intelligence algorithm to the reading process for two-dimensional full-field digital mammography von Graewingholt, Axel, Rossi, Paolo Giorgi

“… Screening mammograms were processed using a detection algorithm based on deep learning …”
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A Survey of Deep Learning-Based Object Detection von Jiao, Licheng, Zhang, Fan, Liu, Fang, Yang, Shuyuan, Li, Lingling, Feng, Zhixi, Qu, Rong

“… , with the purpose of locating instances of semantic objects of a certain class. With the rapid development of deep learning algorithms for detection tasks, the performance of object detectors has been greatly improved …”
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Advanced Object Detection Algorithms and Its Application Based on Deep Learning von Ma, Bohan, Zheng, Chengyu, Zheng, Zhuowen

“… In this paper, firstly, we focus on the research progress of object detection algorithm based on deep learning in the light of its technical evolution and application …”
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Cognitive decline assessment using semantic linguistic content and transformer deep learning architecture von PL, Rini, KS, Gayathri

“… & Procedures This is a cross‐sectional, online, self‐administered. The proposed method used deep learning architecture based on transformers, with BERT …”
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A Small Object Detection Algorithm for Traffic Signs Based on Improved YOLOv7 von Li, Songjiang, Wang, Shilong, Wang, Peng

“… In order to improve the recognition of road traffic signs, this paper proposes a small object detection algorithm for traffic signs based on the improved YOLOv7 …”
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YOLO-BS: a traffic sign detection algorithm based on YOLOv8 von Zhang, Hong, Liang, Mingyin, Wang, Yufeng

“… This paper reviews traditional traffic sign detection methods and introduces an enhanced detection algorithm (YOLO-BS) based on YOLOv8 …”
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Soft Transducer for Patient’s Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection von Arpaia, Pasquale, Crauso, Federica, De Benedetto, Egidio, Duraccio, Luigi, Improta, Giovanni, Serino, Francesco

“… ). In addition to this, a dedicated deep learning algorithm, based on a Long-Short-Term-Memory Autoencoder, was designed, implemented and tested for providing an alert …”
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Round Traffic Sign Detection Algorithm von Huang, Yinrong, Wang, Bing, Yuan, Xiemin

“… Therefore, this paper proposes an algorithm that combines traditional methods with deep learning to detect circular traffic signs …”
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Road object detection: a comparative study of deep learning-based algorithms von Mahaur, Bharat, Singh, Navjot, Mishra, K. K.

“… (ITS). Many deep learning-based algorithms using two-dimensional images have become an essential tool for autonomous vehicles with object detection, tracking, and segmentation for road target detection …”
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0275 Deep Learning-based Sleep Detection using Torso Patch Vital Signs Improves Sleep-Wake Detection over Wrist Actigraphy von Pipke, Matt, Alla, Srilakshmi, Sekaric, Jadranka, Richards, Dylan, Gendy, Maged, Abbott, Sabra, Grimaldi, Daniela, Reid, Kathryn, Zee, Phyllis

“… By combining movement plus vital signs in a deep neural network algorithm, improved sleep detection, fragmentation and sleep staging should be possible compared to activity alone …”
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Traffic signs detection and recognition systems by light-weight multi-stage network von Hou, Mingzheng, Zhang, Xin, Chen, Yang, Dong, Penglin, Feng, Ziliang

“… algorithm based on deep learning. This paper describes an approach for efficiently detection and recognizing in real world scenarios …”
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Improved Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicles von Cao, Jingwei, Song, Chuanxue, Peng, Silun, Xiao, Feng, Song, Shixin

“… environment, and poor real-time performance of deep learning-based methodologies for traffic sign recognition …”
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ETSR-YOLO: An improved multi-scale traffic sign detection algorithm based on YOLOv5 von Liu, Haibin, Zhou, Kui, Zhang, Youbing, Zhang, Yufeng

“… , resulting in reduced recognition accuracy. To address these challenges, this study introduces an optimisation algorithm called ETSR-YOLO, which is based on the YOLOv5s algorithm …”
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