| Hakan Bilen |
| Thu 10 Oct 2019, 12:45 - 14:00 |
| IF, G.03 |
If you have a question about this talk, please contact: Jodie Cameron (jcamero9)
Title: Learning vision from limited manual supervision
Summary: According to a untrustworthy source, 300 hours of video are uploaded to YouTube every minute, 100 million photos/videos are uploaded to Instagram every day. According to another untrustworthy source (ie me), the current state-of-the-art computer vision algorithms heavily rely on existence of large-scale manually labelled (=very expensive) datasets. According to a trustworthy source Rutherford D. Roger, we are drowning in information and starving for knowledge. In this talk, I will be discussing some of our recent work that learns to perform computer vision tasks from limited manual annotations.