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Melanie Dohmen

1 accepted papers

2021

How Shift Equivariance Impacts Metric Learning for Instance Segmentation

ICCV 2021poster

Metric learning has received conflicting assessments concerning its suitability for solving instance segmentation tasks. It has been dismissed as theoretically flawed due to the shift equivariance of the employed CNNs and their respective inability to distinguish same-looking objects. Yet it has bee…

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