Thursday, July 18, 2019 1:30 pm
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1:30 pm
EDT (GMT -04:00)
Paulo Pacheco, PhD candidate
David R. Cheriton School of Computer Science
In this seminar I will discuss some of the current state-of-the-art methods for generating attention maps in weakly supervised (image level annotations) for classification tasks, aiming image segmentation inference and object localization.
I will present techniques that use the Global Average Polling Layer, Backpropagation and Image Masking, presenting some experimental results that compare these techniques under leveraged conditions.