S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning

no code implementations • 19 May 2023 • Alžběta Manová, Aiden Durrant, Georgios Leontidis

In this work, we aim to learn highly separable semantic hierarchical representations by stacking Joint Embedding Architectures (JEA) where higher-level JEAs are input with representations of lower-level JEA.

Representation Learning Self-Supervised Learning