Ivan Sosnovik, a PhD candidate at the Delta Lab and the University of Amsterdam, presents a use case about Scale Equivariance for Computer Vision.

This video lesson is based on two scientific studies that are referred to below. Note: This additional information is not mandatory for the course and is primarily intended for learners who wish to dive deeper into the material.

• Ivan Sosnovik, Michał Szmaja, Arnold Smeulders. Scale-Equivariant Steerable Networks. 2020. The code referred to in the paper can be found here.

• Ivan Sosnovik, Artem Moskalev, Arnold Smeulders. Scale Equivariance Improves Siamese Tracking. 2020. The code referred to in the paper can be found here.