I’ll be giving a talk titled “Deep Learning in Computer Vision” as part of the Informatics Institute monthly Friday Seminars series.
Location: Conference Room (124), METU Informatics Institute
Time: 13 April 2018, 15:30-16:30
This seminar is open to public and those outside METU have to register from EventBrite page of the event: https://www.eventbrite.com/e/metu-informatics-institute-friday-seminars-deep-learning-in-computer-vision-tickets-44790433392 (Free Registration)
Deep Learning in Computer Vision
Deep Neural Networks (DNNs) have been shown to achieve human-level accuracy for many vision tasks. On the other hand, they require considerable amounts of computational power and data to train. In this talk, I will first talk about the deep learning based approaches and their differences to traditional approaches. I will then give an overview of the deep learning ecosystem (tools and systems) for training and inference. Then I will be focusing on their application to the computer vision problems with a number of examples including image classification, object detection, image segmentation as well as generative models. I will then conclude by discussing the challenges and problems in current deep learning based approaches.