LLaMA-Unidetector consists of a two-stage algorithm, namely object localization and foreground recognition. Therefore, virtual environments were established respectively for the two stages.

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.

This study introduces an innovative MTL framework designed to incorporate Multi-Person Attribute Recognition (MPAR) within a single-model architecture. Named MPAR-RCNN, this framework unifies object ...

Traffic object detection and recognition systems play an essential role in Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV). In this research, we focus on four important classes ...

Advancements in Artificial Intelligence and Deep Learning have impacted numerous fields, particularly through innovations like You Only Look Once for object detection and PaddleOCR for optical ...

A computer vision team at the Georgia Institute of Technology has developed a new approach for computers to train themselves on image object recognition. The work modernizes how machine learning ...