Search Results - Deep Learning based sign detection algorithms

A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid.

Authors: Li, Yuqi Wang, Zijian Zhang, Han et al.

Source: IET Image Processing (Wiley-Blackwell); 12/11/2024, Vol. 18 Issue 14, p4639-4652, 14p

Subject Terms: TRAFFIC monitoring, DETECTION algorithms, TRAFFIC signs & signals, TRAFFIC density, FEATURE extraction, DEEP learning

Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review

Authors: Hui Chen Mohammed A.H. Ali Yusoff Nukman et al.

Source: Results in Engineering, Vol 24, Iss , Pp 103553- (2024)

Subject Terms: Traffic sign detection (TSD), Traffic sign recognition(TSR), Traditional-based sign detection algorithm, Deep Learning based sign detection algorithms, Hybrid algorithm-based sign detection algorithms, Technology

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123024017961; https://doaj.org/toc/2590-1230

Access URL: https://doaj.org/article/b286c95037b941c6acfbc56c05543989

A Traffic-Sign Detection Algorithm Based on Improved Sparse R-cnn

Authors: Jinghao Cao Junju Zhang Xin Jin

Source: IEEE Access, Vol 9, Pp 122774-122788 (2021)

Subject Terms: Deep learning, object detection, traffic-sign detection, self-attention mechanism, improved Sparse R-cnn, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9527251/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/a687538950024683bc5a72812318ba58

STDE-YOLOv5s: a traffic sign detection algorithm based on context information enhancement

Authors: Qi Tian Juwei Zhang

Source: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-18 (2025)

Subject Terms: Small target detection, YOLOv5s, Traffic sign detection, Deep learning, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2731-0809

Access URL: https://doaj.org/article/710ee07f40af497e992fb0662c097c47

YOLO-BS: a traffic sign detection algorithm based on YOLOv8

Authors: Hong Zhang Mingyin Liang Yufeng Wang

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-11 (2025)

Subject Terms: Traffic sign detection, Deep learning, YOLO, TT100K, BiFPN, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/aee35d276f8e40dc962ef2c3af7cd7b8

Improved small target detection algorithm based on multiattention and YOLOv5s for traffic sign recognition

Authors: Ge MA Hongwei LI Ziwei YAN et al.

Source: 工程科学学报, Vol 46, Iss 9, Pp 1647-1658 (2024)

Subject Terms: small target detection, traffic sign recognition, attention mechanism, yolov5s, deep learning, Mining engineering. Metallurgy, TN1-997, Environmental engineering, TA170-171

File Description: electronic resource

Relation: https://doaj.org/toc/2095-9389

Access URL: https://doaj.org/article/f2d176f3748547e0a2cfd8d264c21796

UCN-YOLOv5: Traffic Sign Object Detection Algorithm Based on Deep Learning

Authors: Peilin Liu Zhaoyang Xie Taijun Li

Source: IEEE Access, Vol 11, Pp 110039-110050 (2023)

Subject Terms: Object detection, traffic sign detection, YOLO, YOLOv5, U2Net, Convnext, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10272582/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/7a8f8068dc2d4156a3337fbbcf1baea3

Deep Learning Based Detection of Large Vessel Occlusions in Acute Ischemic Stroke Using High-Resolution Photon Counting Computed Tomography and Conventional Multidetector Computed Tomography.

Authors: Boriesosdick J Shahzadi I Xie L et al.

Source: Clinical neuroradiology [Clin Neuroradiol] 2025 Mar; Vol. 35 (1), pp. 185-195. Date of Electronic Publication: 2024 Nov 25.

Publication Type: Journal Article

Journal Info: Publisher: Springer Heidelberg Country of Publication: Germany NLM ID: 101526693 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-1447 (Electronic) Linking ISSN: 18691439 NLM ISO Abbreviation: Clin Neuroradiol Subsets: MEDLINE

MeSH Terms: Deep Learning* , Ischemic Stroke*/diagnostic imaging , Multidetector Computed Tomography*/methods , Computed Tomography Angiography*/methods , Cerebral Angiography*/methods, Humans ; Male ; Female ; Aged ; Middle Aged ; Sensitivity and Specificity ; Aged, 80 and over ; Radiographic Image Interpretation, Computer-Assisted/methods

Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons

Authors: Bayan Alabduallah Reham Al Dayil Abdulwhab Alkharashi et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-25 (2025)

Subject Terms: Hand pose recognition, Hearing-impaired persons, Sign language recognition, Metaheuristic, Fusion of transfer learning, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/d8910b011d384b71bdfa691c8ecb2ac4

Research on Traffic Sign Detection Based on CGS-Ghost YOLO

Authors: Hong ZHAO, Yubo FENG

Source: Jisuanji gongcheng, Vol 49, Iss 12, Pp 194-204 (2023)

Subject Terms: deep learning, object detection, yolov5 detection algorithm, attention mechanism, cgs conv module, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20231223.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/28492d96393549e2b3849b75accb2b88

Deep Learning Based Traffic Sign Recognition Using YOLO Algorithm

Authors: Gökalp Çınarer

Source: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 12, Iss 1, Pp 219-229 (2024)

Subject Terms: derin öğrenme, trafik işareti tanıma, yolo, deep learning, traffic sign recognition, Technology, Engineering (General). Civil engineering (General), TA1-2040, Science, Science (General), Q1-390

File Description: electronic resource

Relation: https://dergipark.org.tr/tr/download/article-file/2814068; https://doaj.org/toc/2148-2446

Access URL: https://doaj.org/article/6ae15c2f28794e08bb9012195dab44fc

A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid

Authors: Yuqi Li Zijian Wang Han Zhang et al.

Source: IET Image Processing, Vol 18, Iss 14, Pp 4639-4652 (2024)

Subject Terms: object detection, object recognition, road traffic, small target detection, Photography, TR1-1050, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://doaj.org/toc/1751-9659; https://doaj.org/toc/1751-9667

Access URL: https://doaj.org/article/2de5332271a544e8982506e47164bb0a

A Small Object Detection Algorithm for Traffic Signs Based on Improved YOLOv7

Authors: Songjiang Li Shilong Wang Peng Wang

Source: Sensors, Vol 23, Iss 16, p 7145 (2023)

Subject Terms: deep learning, traffic sign detection, YOLOv7, small object detection, ACmix, computer vision, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/16/7145; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/e5130b038b574f668b6a32a6363ab648

Evaluation Method of Deep Learning-Based Embedded Systems for Traffic Sign Detection

Authors: Miguel Lopez-Montiel Ulises Orozco-Rosas Moises Sanchez-Adame et al.

Source: IEEE Access, Vol 9, Pp 101217-101238 (2021)

Subject Terms: Traffic sign detection, deep learning, hardware acceleration, computer vision, autonomous vehicles, embedded systems, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9490209/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/c81832e0d69d4cc9886a76af1cf2f7a0

Improved Target Detection Algorithm Based on Libra R-CNN

Authors: Zijing Zhao Xuewei Li Hongzhe Liu et al.

Source: IEEE Access, Vol 8, Pp 114044-114056 (2020)

Subject Terms: Deep learning, target detection, traffic sign detection, improved Libra R-CNN, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9119432/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/ce27132ad22d4d8485c0d5074e44c84b

MMW-YOLOv5: A Multi-Scale Enhanced Traffic Sign Detection Algorithm

Authors: Tong Wang Juwei Zhang Bingyi Ren et al.

Source: IEEE Access, Vol 12, Pp 148880-148892 (2024)

Subject Terms: Traffic sign detection, deep learning, YOLOv5, multi-scale fusion, object detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10707610/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/efb26f5cc50246c9b39429119265b9e8

Automated Detection of Lumbosacral Transitional Vertebrae on Plain Lumbar Radiographs Using a Deep Learning Model.

Authors: Kwak, Donghyuk Ro, Du Hyun Kang, Dong-Ho

Source: Journal of Clinical Medicine; Nov2025, Vol. 14 Issue 21, p7671, 10p

Subject Terms: DEEP learning, ARTIFICIAL intelligence, TEST validity, RADIOLOGY, LUMBAR vertebrae, DETECTION algorithms, CLINICAL decision support systems

Traffic sign detection and recognition based on multi-size feature extraction and enhanced feature fusion module.

Authors: Zhang, Yongliang Lu, Yang Zhu, Wuqiang et al.

Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 2, p2993-3004, 12p

Subject Terms: DEEP learning, TRAFFIC monitoring, TRAFFIC signs & signals, FEATURE extraction

Detection of Dental Anomalies in Digital Panoramic Images Using YOLO: A Next Generation Approach Based on Single Stage Detection Models.

Authors: Şevik, Uğur Mutlu, Onur

Source: Diagnostics (2075-4418); Aug2025, Vol. 15 Issue 15, p1961, 20p

Subject Terms: DEEP learning, PEDIATRIC dentistry, DETECTION algorithms, PANORAMIC photography, OBJECT recognition (Computer vision)

Implementation of a Deep Learning System for Detection and Classification of Lumpy Skin Disease in Cattle: Enhancing Precision and Efficiency in Veterinary Diagnostics.

Authors: Pal, Madhumita Behera, Soudamini Mohapatra, Ranjan K. et al.

Source: Veterinary Medicine & Science. Nov2025, Vol. 11 Issue 6, p1-20. 20p.

Subjects: Lumpy skin disease, Deep learning, Ensemble learning, Veterinary clinical pathology, Health of cattle, Transformer models, Machine learning