Visual Intelligence Online Seminar #69: Equivariant Self-Supervision: Exploiting the Inductive Biases of Capsule Networks
Presented by Aiden Durrant, Assistant Professor at University of Aberdeen
Self-Supervised learning has revolutionised the way we perform large scale training. However, it is built on primitives of invariance to perturbations and transformations to learn key features. If we wish to move towards generalised visual world models, it is essential that properties of transformation to objects are preserved.
In this talk, Aiden Durrant will discuss the motivation and potential application of equivariant self-supervised learning, and explore recent work employing architectural changes to introduce useful inductive biases.
When: 13th February, 1:00 PM - 2:00 PM CET
Where: Online (sign-up link)
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