Výsledky vyhľadávania - Object Detection Algorithms

A Performance Comparison of Object Detection Algorithms on Traffic Scenes in Indian Roads

Autori: Bhakti Paranjape Apurva Naik S. Perumal Sankar

Zdroj: Engineering, Technology & Applied Science Research. 15:25492-25498

A Lightweight Object Detection Algorithm Based on Improved YOLOv8

Autori: Guochao Wan Tao Ming

Zdroj: Computers and Artificial Intelligence. 2:37-43

LW-DETR: a lightweight transformer-based object detection algorithm for efficient railway crossing surveillance

Autori: Baoye Song Shihao Zhao Zidong Wang a ďalší

Zdroj: Complex & Intelligent Systems, Vol 11, Iss 12, Pp 1-13 (2025)

Predmety: Railway crossing, Object detection, Transformer framework, Lightweight algorithm, Deep learning, Real-time monitoring, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Prístupová URL adresa: https://doaj.org/article/d729710982484f31971cd241c3462d34

DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network

Autori: Peitao Cheng Xuanjiao Lei Haoran Chen a ďalší

Zdroj: Journal of Information and Intelligence, Vol 3, Iss 2, Pp 91-102 (2025)

Predmety: Object detection, Lightweight network, Attention mechanism, Information technology, T58.5-58.64, Loss function

Prístupová URL adresa: https://doaj.org/article/312a7dc00d5547d59eb0b2d86e9e530d

DCW-YOLO: Road Object Detection Algorithms for Autonomous Driving

Autori: Hongge Ren Fangke Jing Song Li

Zdroj: IEEE Access, Vol 13, Pp 125676-125688 (2025)

Predmety: Autonomous driving, YOLOv8, deep learning, object detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Prístupová URL adresa: https://doaj.org/article/a618fb1a395e468790c79d0fb9880079

Deep Learning-Based Object Detection Algorithms in Medical Imaging

Systematic Review

Autori: Albuquerque, Carina Henriques, Roberto Castelli, Mauro a ďalší

Prispievatelia: Albuquerque, Carina Henriques, Roberto Castelli, Mauro a ďalší

Predmety: deep learning, object detection, Medical imaging, bibliometric analysis, qualitative analysis, quantitative analysis, General, SDG 3 - Good Health and Well-being

Popis súboru: application/pdf

Relation: 2405-8440; PURE: 104701975

Dostupnosť: http://hdl.handle.net/10362/176499

Real-Time Construction Safety Monitoring with Object Detection Algorithms: Features’ Identification and Implementation Challenges

Autori: Amr A. Mohy Hesham A. Bassioni Elbadr O. Elgendi a ďalší

Zdroj: Journal of Applied Engineering Sciences. 15:135-144

Automated assessment of periapical health based on the radiographic periapical index using YOLOv8, YOLOv11, and YOLOv12 one-stage object detection algorithms.

Autori: Saber S Abou El Nasr H Torky AA a ďalší

Zdroj: Scientific reports [Sci Rep] 2025 Oct 20; Vol. 15 (1), pp. 36487. Date of Electronic Publication: 2025 Oct 20.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy zo slovníka MeSH: Periapical Periodontitis*/diagnostic imaging , Algorithms* , Radiographic Image Interpretation, Computer-Assisted*/methods, Humans ; Deep Learning ; Detection Algorithms

Exploring the landscape: Applications and comparative analysis of object detection algorithms

Autori: Harshita Mathur Vaibhav Gupta

Zdroj: World Journal of Advanced Research and Reviews. 24:2157-2163

Predmety: HOG, Object detection, R-CNN, Computer vision, Deep learning, YOLO, DPM, SSD

Efficient diagnostic model for iron deficiency anaemia detection: a comparison of CNN and object detection algorithms in peripheral blood smear images

Autori: Navya K. T Seemitr Verma Keerthana Prasad a ďalší

Zdroj: Automatika, Vol 66, Iss 1, Pp 1-15 (2025)

Predmety: T59.5, Automation, Control engineering systems. Automatic machinery (General), TJ212-225, iron deficiency anaemia, hypochromic microcytes, object detection, Peripheral blood smear, red blood cells

Prístupová URL adresa: https://doaj.org/article/f8686bddb95643178968806720029059

BF-YOLO:An improved small object detection algorithm based on YOLOv8.

Autori: PU, Xiaoli LAI, Huicheng GAO, Guxue

Zdroj: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. Aug2025, Vol. 47 Issue 8, p1425-1436. 12p.

Predmety: *OBJECT recognition (Computer vision), *DETECTION algorithms, *LEARNING ability, *ALGORITHMS, *NECK

Research on Real-time Object Detection Algorithms for Elevator Intelligent Monitoring Scenarios

Autori: Jianyi Huang Geng Lin Zhengshan Dong a ďalší

Zdroj: Proceedings of the 2025 2nd International Conference on Computer and Multimedia Technology. :229-235

Cluster Data Analysis for Optimization of Parameters of Object Detection Algorithms by Mobile Neural Network Models

Autori: P. O. Arkhipov S. L. Philippskikh M. V. Tsukanov

Zdroj: Pattern Recognition and Image Analysis. 35:219-224

A Survey on 3D Object Detection Algorithms

Autori: Lulu Fang Yang Zhang Yang Yu a ďalší

Zdroj: 2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL). :1013-1017

Object Detection Algorithm Based on YOLOv8 Enhancement and Its Application Norms

Autori: XU Yongwei, REN Haopan, WANG Pengfei

Zdroj: Jisuanji kexue, Vol 52, Iss 7, Pp 189-200 (2025)

Predmety: yolov8, object detection, spatial attention, adaptive feature fusion, complex scenes, applicationnorms, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis súboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-7-189.pdf; https://doaj.org/toc/1002-137X

Prístupová URL adresa: https://doaj.org/article/23c0731b35504b42b823c38b2b49b22d

Implementation of Object Detection Algorithms in the Inventory of Technical Infrastructure, Case Study of Utility Poles Detection

Autori: Mateusz Paweł Czyrzniak Jacek Rapiński

Zdroj: Civil and Environmental Engineering Reports. 35:177-189

Performance Evaluation of YOLOv5 and YOLOv8 Object Detection Algorithms on Resource-Constrained Embedded Hardware Platforms for Real-Time Applications

Autori: Peserico, Giovanni Morato, Alberto

Zdroj: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). 23:1-7

Predmety: AI, gpu, detection, Neural Network, nvidia, real-time, Embedded System, YOLO, cpu, measurements

Prístupová URL adresa: https://hdl.handle.net/20.500.14243/535395
https://doi.org/10.1109/etfa61755.2024.10710707

Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head

Autori: Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

Zdroj: Hangkong bingqi, Vol 32, Iss 3, Pp 78-85 (2025)

Predmety: TL1-4050, small object detection|deep learning|partial convolution|attention mechanism|uav, Motor vehicles. Aeronautics. Astronautics

Prístupová URL adresa: https://doaj.org/article/63fa8d7a369d413587194180ff47ce13

Review of One-Stage Universal Object Detection Algorithms in Deep Learning

Autori: WANG Ning, ZHI Min

Zdroj: Jisuanji kexue yu tansuo, Vol 19, Iss 5, Pp 1115-1140 (2025)

Predmety: object detection, deep learning, computer vision, one-stage, yolo, detr, Electronic computers. Computer science, QA75.5-76.95

Prístupová URL adresa: https://doaj.org/article/df2a6c19f1cb43ca865d654776aa65c6

YOLOv7-DBV: A Lightweight Object Detection Algorithm Based on Cross-Stage Local Network.

Autori: Cao, Danyang Wong, Yongfu Liu, Fangfang

Zdroj: International Journal of Pattern Recognition & Artificial Intelligence. Jul2025, Vol. 39 Issue 9, p1-27. 27p.

Predmety: *OBJECT recognition (Computer vision), *DETECTION algorithms, *FEATURE extraction, *DATA mining, *ALGORITHMS