IEEE

Automatic Object Detection-and-Counting Method Using Single-Shot Self-Supervised Learning and 3D Sensing in Resource-Limited Environments

Abstract: Custom object detection systems are essential for meeting the specialized requirements of diverse applications, including manufacturing and biomedical engineering. Conventional deep-learning ...
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 ...
GitHub

Personal Protective Equipment (PPE) Object Detection using YOLOv11

This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture. The objective is to automate the process of identifying whether ...
IEEE

Spotlighting on Objects: Prior Knowledge-Driven Maritime Image Dehazing and Object Detection Framework

Abstract: Maritime environments often face visibility challenges due to haze which significantly impacts detection models. However, existing maritime object detection algorithms often neglect haze ...