Title- "Self-Attention for Vision"

When:
Friday, December 4, 2020, 11:00 am - 12:00 pm PSTiCal
Where:
VIRTUAL:https://usc.zoom.us/j/91680012693
This event is open to the public.
Type:
AI Seminar
Speaker:
Ashish Vaswani and Prajit Ramachandran (Google)
Video Recording:
https://usc.zoom.us/j/91680012693
Description:

*This Talk Will Not Be Recorded. Please participate in the livestream broadcast, if you plan to attend.

Abstract:

Deep Learning seeks to discover universal models that work across all modalities and tasks. While self-attention has enhanced the capabilities of models in natural language, convolutions still dominate the landscape of vision architectures. In this talk, we will present a series of results culminating in self-attention models that are competitive with state-of-the-art convolutional models for fundamental image tasks. We will also present the strengths and limitations of our models, and discuss the implications of our work for building universal primitives for all vision tasks.
 

Bio:

TBA

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