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Unpacking Scattering Vision Transformer: A New Dawn in Computer Vision
Originally aired:
About the Session
Transformers are reshaping computer vision. But with their prowess come inherent challenges, particularly with attention complexity and the nuances of image details. Dr. Agneeswaran introduces the Scattering Vision Transformer (SVT), an innovative approach that promises to address these challenges head-on.
In this session, attendees will:
- Dive deep into the architecture and principles behind SVT, understanding how it differs and rises above traditional transformers.
- Explore the groundbreaking spectrally scattering network of SVT and its novel spectral mixing technique.
- Discover real-world applications: From setting records on the ImageNet dataset to its potential in medical imaging and collaborations with industry stalwarts.
- Understand the practical implications of SVT for developers, architects, and businesses.
By the end of the talk, attendees will not only grasp the academic brilliance behind SVT but will also appreciate its tangible impact on the world of computer vision, gaining insights that are immediately applicable in their own projects and endeavors.
Unpacking Scattering Vision Transformer: A New Dawn in Computer Vision
Originally aired:
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