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Репозиторий БГУИР
Browsing by Subject object detection
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Showing results 1 to 20 of 21
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Issue Date
Title
Author(s)
2021
Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
Zhuk, A.
;
Ablameyko, S.
;
Абламейко, С. В.
2023
Deep learning based approach for vertebrae detection on spine X-RAY
Charapennikau, R. M.
2023
HRGC-YOLO for Urine Sediment Particle Detection in High-Resolution Microscopic Images
Yunqi Zhu
;
Haixu Yang
;
Luhong Jin
;
Dagan Yang
;
Yu Chen
;
Xianfei Ye
;
Ablameyko, S.
;
Yingke Xu
2020
Implementation of an intelligent decision support system to accompany the manufacturing process
Golovko, V. A.
;
Kroshchanka, A. A.
;
Kovalev, M. V.
;
Taberko, V. V.
;
Ivaniuk, D. S.
2024
Improved real-time object detection algorithm
Tang Yi
;
Zhao Di
2023
An Improved Small Object Detection Method in Remote Sensing Images Based on YOLOv8
Wang Hao
;
Ablameyko, S.
2019
Neural network based image understanding with ontological approach
Iskra, N. A.
;
Iskra, V. V.
;
Lukashevich, M.
2020
Neuro-Symbolic Artificial Intelligence: Application for Control the Quality of Product Labeling
Golovko, V. A.
;
Kroshchanka, A. A.
;
Kovalev, M. V.
;
Taberko, V. V.
;
Ivaniuk, D.
2022
Object detection on images based on YOLOX
Gao Haoxuan
2020
Object Detection для автоматизации обработки документов
Козак, А. В.
2024
Principles of Building Intelligent Robotic Systems
Kroshchanka, A.
;
Kovalev, M.
2023
PYNQ framework for FPGA-based embedded systems
Marmuzevich, M. A.
2024
Real-time object detection algori
Tang Yi
2026
Sensor fusion for autonomous vehicle environmental perception: a reproducible comparison
Xinyu Zhang
2022
Small object detection method
Tang, Yi
;
Gourinovitch, A.
2021
Superpixel Clustering for Detection of Binary Object Hierarchy Using Modernized Classical Clustering Methods
Kharinov, M.
2018
Traffic sign detection and problems in the field of computer vision
Lukashevich, M.
2025
Vehicle and label detection method based on YOLOv11
Guo Qicheng
2023
Video object detection program design under two different client-server organizations
Gao, H.
;
Shevchuk, O. G.
2020
Подход к анализу изображений для систем технического зрения
Искра, Н. А.