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 ...
IEEE

Object Detection using OpenCV and Deep Learning

Abstract: The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices are mobile networks and multimodal neural ...
IEEE

Unc-SOD: An Uncertainty Learning Framework for Small Object Detection

Abstract: Small object detection (SOD) constitutes a notable yet immensely arduous task, stemming from the restricted informative regions inherent in size-limited instances, which further sparks off ...
GitHub

Real-Time Object Detection Meets DINOv3

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...