AI tools are designed for specific stages of the development lifecycle, and understanding their classification can help teams ...

Abstract: As a crucial part of autonomous driving, object detection needs to be of high accuracy and real-time. This paper proposes an optimized version of YOLOv9 specifically for road object ...

Abstract: We provide an extensive study of hyperparameter optimization for CNN and Transformer models using the deepfake detection problem. We will use Optuna for Hyperparameter Tuning with Bayesian ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

I am doing hyperparameter tuning for pose estimation using the model.tune method (not using RayTune). It was my understanding that fitness values ranged from 0 - 1 when tuning hyperparameters. My ...

As can be seen, you do it like any other model from Scikit-Learn library such as Random Forest, Decision Tree, XGBoost,... This section explains how to use different types of variables from the ...