Abstract: In explainable artificial intelligence (XAI) for object detection, saliency maps are employed to highlight important regions for a learned model’s prediction. However, a trade-off exists ...
Transform error-prone imperative code into readable, succinct functional pipelines—with zero performance overhead. The Problem: Traditional error handling in C# ...
Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames. Most methods accomplish the task by explicitly or implicitly leveraging strong cues (i.e., spatial and ...
Abstract: Artificial Intelligence (AI)-based 3D object detection utilizing point clouds from LiDAR sensors has become widespread in various applications, such as autonomous driving. However, the lack ...
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