2025
EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
ICCV 2025poster
Learning self-supervised representations that are invariant and equivariant to transformations is crucial for advancing beyond traditional visual classification tasks. However, many methods rely on predictor architectures to encode equivariance, despite evidence that architectural choices, such as c…