Grad Seminar: "Dynamic Deep Learning for Real-World Industrial Visual Perception Applications"
Abstract
Achieving reliable and robust performance of visual perception systems with Artificial Intelligence (AI) in real-world industrial applications can be challenging due to highly dynamic conditions and requirements. Traditional AI-based solutions require offline training on high-quality data, making it difficult to accommodate new technologies, data, hardware, tasks, and customer needs without retraining.