אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

I'll present two new concepts in deep learning and show how we used them to achieve a significant improvement in stereo matching, which is one of the most fundamental problems in computer vision. The first is a new residual architecture dedicated for metric learning, and the second is a general way to assess the confidence in the network's prediction.

*Amit is a deep learning and computer vision engineer at Magic Leap and M.Sc student in deep learning and computer vision at CS-TAU