דלג לתוכן (מקש קיצור 's')
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אירועים

אירועים

Pixel Club: Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
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עמית שקד (אונ' תל-אביב)
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יום שלישי, 20.6.2017, 11:30
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חדר 1061, בניין מאייר, הפקולטה להנדסת חשמל
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
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