Results 41 to 50 of about 853,347 (196)

Diabetic retinopathy screening using machine learning: a systematic review

BMC Biomedical Engineering
Diabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification and prompt treatment are crucial in preventing vision impairment caused by diabetic retinopathy (DR).
Fitsum Mesfin Dejene, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Degaga Wolde Feyisa   +4 more
doaj   +1 more source

JointTracker: Real-time inertial kinematic chain tracking with joint position estimation [version 2; peer review: 1 approved, 2 approved with reservations]

Open Research Europe
In-field motion capture is drawing increasing attention due to the multitude of application areas, in particular for human motion capture (HMC). Plenty of research is currently invested in camera-based markerless HMC, however, with the inherent drawbacks
Michael Lorenz, Didier Stricker, Markus Miezal, Gabriele Bleser-Taetz, Bertram Taetz   +4 more
doaj   +1 more source

Watermark and Trademark Prompts Boost Video Action Recognition in Visual-Language Models

Mathematics
Large-scale Visual-Language Models have demonstrated powerful adaptability in video recognition tasks. However, existing methods typically rely on fine-tuning or text prompt tuning.
Longbin Jin, Hyuntaek Jung, Hyo Jin Jon, Eun Yi Kim   +3 more
doaj   +1 more source

Advanced Scene Perception for Augmented Reality

Journal of Imaging, 2022
Augmented reality (AR), combining virtual elements with the real world, has demonstrated impressive results in a variety of application fields and gained significant research attention in recent years due to its limitless potential [...]
Jason Rambach, Didier Stricker
doaj   +1 more source

A Survey of Current Datasets for Vision and Language Research

, 2015
Integrating vision and language has long been a dream in work on artificial intelligence (AI). In the past two years, we have witnessed an explosion of work that brings together vision and language from images to videos and beyond.
Devlin, Jacob, Ferraro, Francis, Galley, Michel, Huang, Mitchell, Margaret, Mostafazadeh, Nasrin, Ting-Hao, Vanderwende, Lucy   +7 more
core   +1 more source

Transformers in Remote Sensing: A Survey

Remote Sensing, 2023
Deep learning-based algorithms have seen a massive popularity in different areas of remote sensing image analysis over the past decade. Recently, transformer-based architectures, originally introduced in natural language processing, have pervaded ...
Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan   +6 more
doaj   +1 more source

Multispectral Image Processing for Plants [PDF]

, 1991
The development of a machine vision system to monitor plant growth and health is one of three essential steps towards establishing an intelligent system capable of accurately assessing the state of a controlled ecological life support system for long ...
Miles, Gaines E.
core   +1 more source

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

Sensors, 2021
With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled. It has become critical to explore how machine learning and specifically deep learning methods can be exploited to analyse healthcare data.
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson   +4 more
doaj   +1 more source

Artificial intelligent vision analysis in obstructive sleep apnoea (OSA) [PDF]

, 2006
Although polysomnography is a generally adopted approach for diagnosing obstructive sleep apnoea (OSA), there are several critical drawbacks with it, including massive equipment cost, large expense on replacing damaged components and more importantly ...
Ahmed, Amr, Hunter, Andrew, Wang, Ching Wei   +2 more
core  

Learning in the presence of concept recurrence in data stream clustering

Journal of Big Data, 2020
In the case of real-world data streams, the underlying data distribution will not be static; it is subject to variation over time, which is known as the primary reason for concept drift.
K. Namitha, G. Santhosh Kumar
doaj   +1 more source