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Synchronizing object detection: applications, advancements and existing challenges
From pivotal roles in autonomous vehicles, healthcare diagnostics, and surveillance
systems to seamlessly integrating with augmented reality, object detection algorithms stand …
systems to seamlessly integrating with augmented reality, object detection algorithms stand …
Object Detection for the Visually Impaired: A Systematic Literature Review
GF Nugraha, R Mardiati - 2024 10th International Conference …, 2024 - ieeexplore.ieee.org
The development of object detection devices has become a significant investigative focus to
enhance autonomy and quality of life for the visually impaired. In this context, technologies …
enhance autonomy and quality of life for the visually impaired. In this context, technologies …
Intelligent classification of ballast bed defects using a bimodal deep learning model
The method of detecting ballast bed defects using ground penetrating radar (GPR) is an
important method for guiding the maintenance of railway infrastructure. Currently, this …
important method for guiding the maintenance of railway infrastructure. Currently, this …
Foregroundnet: Domain adaptive transformer for camouflaged object detection
Z Liu, S Luo, S Sun, C Li, Y Huang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Camouflaged object detection (COD) from optical images intends to detect the “perfectly”
concealed objects from their complicated backgrounds, which has promising prospects for …
concealed objects from their complicated backgrounds, which has promising prospects for …
Exploring ResNet-18 Estimation Design through Multiple Implementation Iterations and Techniques in Legacy Databases
N Thongpance, P Dangyai… - Journal of Robotics …, 2023 - journal.umy.ac.id
Self-Supervised Learning for Camouflaged Object Detection
Z Liu, T Ji, C Li, L Yang - 2024 IEEE 7th International …, 2024 - ieeexplore.ieee.org
Camouflaged object detection (COD) is a challenging problem due to the difficulty of
distinguishing objects that blend seamlessly into their surroundings. Traditional methods …
distinguishing objects that blend seamlessly into their surroundings. Traditional methods …
A Comparative Analysis of Traditional and CNN-Based Object Recognition Techniques in Robotics
Z Cheng, Y Zhang - 2024 IEEE 7th Information Technology …, 2024 - ieeexplore.ieee.org
This paper presents a comparative study of traditional object recognition methods and CNN-
based algorithms, applied within the scope of robotics. Traditional techniques such as SIFT …
based algorithms, applied within the scope of robotics. Traditional techniques such as SIFT …
Application of Object Detection and Face Recognition with Customize Dataset on Service Robot
Computer vision technology is currently gaining traction in all industries, including
manufacturing, agriculture, healthcare, and services. Computer vision technology now …
manufacturing, agriculture, healthcare, and services. Computer vision technology now …