IEEE

MonoGSDet: Monocular 3D Object Detection With Gaussian Splatting in Autonomous Driving

Abstract: Monocular 3D object detection has gained considerable attention because of its cost-effectiveness and practical applicability, particularly in autonomous driving and robotics. Most of ...
IEEE

Integrating Spatial and Temporal Features for Object Motion Detection using CNN–BiLSTM Architecture

Abstract: Object motion detection plays a vital role in video analysis applications such as surveillance, autonomous navigation, and human–computer interaction. This study presents an object motion ...
IEEE

A Systematic Review of Modern Object Detection: Classical CNN Architectures and Transformer-Based Approaches

Abstract: Object Object detection, a fundamental task in computer vision, has undergone a revolutionary transformation with the advent of deep learning. This paper provides a comprehensive review of ...
IEEE

Stereo R-CNN Based 3D Object Detection for Autonomous Driving

Abstract: We propose a 3D object detection method for autonomous driving by fully exploiting the sparse and dense, semantic and geometry information in stereo imagery. Our method, called Stereo R-CNN, ...
IEEE

Dim and Small Object Detection Using Transform-Based Feature Accumulative Enhancing in Astronomical Optical Image Sequences

Abstract: The challenging task of detecting dim and small objects in astronomy optical image sequences is to distinguish them from a large number of stars and different kinds of noise. To address this ...