In recent years, artificial intelligence (AI) has advanced significantly across various fields, such as natural language ...

Sonar image object detection plays a crucial role in obstacle detection ... This loss function optimizes the model by improving the accuracy of bounding box predictions and reducing computational ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow ... after generating predictions to refine bounding box candidates. While NMS boosts accuracy, it ...

Abstract: Bounding box regression (BBR) is a critical component in object detection, significantly influencing the accuracy of object localization. However, existing Intersection over Union ...

Abstract: High-precision dense object detection in retail is crucial for automation ... mitigating perspective distortion and focusing on key regions. To optimize bounding box prediction, we propose ...

Each tracker was configured using the default parameters from their official repositories. Multi-object tracking solutions today depend heavily on the computational capabilities of the underlying ...