IEEE

Ensemble of Fast R-CNN with Bi-LSTM for Object Detection

Abstract: Object detection is a critical task in computer vision, with applications ranging from autonomous driving to medical imaging. Traditional object detection models, such as Fast R-CNN, have ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

Shashi Tharoor Slams ‘Fake News’ Video: How To Detect AI-Generated Voices And Content

In the video, a cloned voice resembling Shashi Tharoor appeared to praise Pakistan’s diplomatic move after it withdrew its ...
IEEE

Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework

Abstract: At present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis ...
IEEE

A Patch-Based CNN Approach for Object Detection Using RGB and NIR Image Fusion

Abstract: This study explores the fusion of RGB and NearInfrared (NIR) images for object detection. Three fusion techniques, such as RedSwap, Heatmap, and the proposed NIRR Difference, were evaluated ...
IEEE

Enhancing CNN-Based Motion Sickness Detection using EEG Signals Weighted by Motion Sickness Dose Value

Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...
IEEE

Detection of Face Mask Wearing Conditions Using YOLOv8s

Abstract: During the COVID-19 pandemic, the use of face masks became mandatory in most countries and played a critical role in reducing transmission. Even in the postpandemic era, proper mask usage ...
IEEE

COFNet: Contrastive Object-Aware Fusion Using Box-Level Masks for Multispectral Object Detection

Abstract: Multispectral object detection, which combines RGB visible light and thermal infrared spectral information, has broad applications in complex environments and varying illumination conditions ...
IEEE

A Verilog based Approach for Object Detection using CNN

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...