More talks in the program:
12:00 - 13:00
Computer Vision enables computers to obtain a high-level understanding from images and videos by automatically extracting, analysing and understanding useful information. With autonomous driving, visual failure detection or scene understanding, computer vision is becoming one of the focus areas in artificial intelligence (AI) to enable computers to see and perceive like humans. This talk will help you understand the state of the art in computer vision using deep learning approaches. We will explain the differences and challenges in image classification, object recognition and image segmentation. Enriched with some sample code and explanations of algorithms we will go through the evolution of Computer vision thanks to deep learning. Why is scene description so much easier than segmentation? Is GPU always required? And finally – why is seeing not equal to understanding?