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

Enhancing Mask R-CNN to Improve Camouflaged Object Detection

Abstract: Camouflaged Object Detection (COD) involves identifying and segmenting objects that become part of the background. It is a complicated task for Computer Vision, which requires techniques ...
IEEE

RFHA-YOLO: Dynamic Receptive Field and Adaptive Hybrid Attention for Small-Object Detection in Remote Sensing Images

Abstract: Small object detection in remote sensing images remains challenging due to limited feature resolution and complex backgrounds. Conventional detectors, due to fixed receptive fields and ...
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

Mask R-CNN for Object Detection in Multitemporal SAR Images

Abstract: Synthetic aperture radar (SAR) has unique advantages in ocean monitoring. Ship object detection in multitemporal SAR images has great potentials in various applications. In this study, we ...
IEEE

SGA-YOLO: A Lightweight Real-Time Object Detection Network for UAV Infrared Images

Abstract: The performance of existing object detection algorithms significantly degrades when applied to low-resolution infrared (IR) images captured by unmanned aerial vehicles (UAVs), which suffers ...
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

Interpolate-Then-Detect: A New Framework of FMCW Radar Object Detection With Frame Interpolation for Autonomous Driving

Abstract: Ensuring reliable object detection in adverse conditions is paramount for safe autonomous driving. While cameras and LiDAR struggle in such scenarios, Frequency Modulated Continuous Wave ...
IEEE

A Two-Stage Spatiotemporal CNN-YOLOv9 Framework for High-Precision Real-Time Abandoned Object Detection in Public Surveillance Videos

Abstract: Maintaining security is of prime importance in public spaces such as markets, train stations, and airports. Such situations demand reliable and advanced automated surveillance systems. This ...
IEEE

Multilayer Feature Extraction Object Detection Based on Deep Forest

Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...